{"id":"W4412738326","doi":"10.7202/1118901ar","title":"Research Integrity and Research Fairness: Harmonious or in Conflict?","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Bioethics","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch","research_integrity"],"domain":"methods","study_design":"theoretical_or_conceptual","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch","research_integrity"],"domain":"methods","study_design":"theoretical_or_conceptual","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3369001,0.0006997494,0.002983419,0.005000903,0.01636326,0.03743565,0.004881255,0.01634359,0.003467652],"category_scores_gemma":[0.3442522,0.00131825,0.001651018,0.005324896,0.1619406,0.03632562,0.03428649,0.019351,0.0009118923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01439527,"about_ca_system_score_gemma":0.04747523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005288079,"about_ca_topic_score_gemma":0.004458989,"domain_scores_codex":[0.498371,0.3988131,0.0195451,0.02117155,0.04768344,0.01441589],"domain_scores_gemma":[0.5374815,0.3122711,0.04121333,0.05714615,0.03297508,0.01891287],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004275671,0.00002922957,0.001281419,0.0002504704,0.00007138978,0.00007815543,0.02378172,0.0001281752,0.0001196368,0.9527153,0.003841779,0.01765994],"study_design_scores_gemma":[0.00006314622,0.00007160448,0.001022223,0.0009756075,0.00005245965,0.0001947596,0.009055243,0.0002469776,0.0002418927,0.9382533,0.04976225,0.00006053279],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02578198,0.01931539,0.07152513,0.7170835,0.003988343,0.0003247803,0.00006143602,0.0001135717,0.1618059],"genre_scores_gemma":[0.8544631,0.005246451,0.02625858,0.1024769,0.003770911,0.0006606718,0.00004713732,0.0001653531,0.006910887],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9836564,"threshold_uncertainty_score":0.8177202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8520249275815825,"score_gpt":0.6905774453795961,"score_spread":0.1614474822019865,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}