{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.06131228,0.0001225347,0.0004736112,0.003200758,0.000377004,0.0001976606,0.0006325701,0.001255088,0.0001633866],"category_scores_gemma":[0.1349283,0.00009477432,0.00007819102,0.002498967,0.005822042,0.000104957,0.0001669927,0.02725081,0.00001978702],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000959076,"about_ca_system_score_gemma":0.04775497,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06175698,"about_ca_topic_score_gemma":0.5143681,"domain_scores_codex":[0.9943828,0.001530289,0.0008726696,0.0003342314,0.001911046,0.0009689828],"domain_scores_gemma":[0.9521796,0.03485982,0.0001099424,0.0006732224,0.01011458,0.002062829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003370076,0.0003991375,0.2546172,0.003179149,0.0003339447,0.01493756,0.01161495,0.000004568561,0.001226295,0.6149245,0.06055276,0.03483987],"study_design_scores_gemma":[0.008468443,0.005727456,0.1403821,0.01704238,0.00007950722,0.001018441,0.05375028,0.0002783036,0.005368871,0.5036206,0.263747,0.0005166848],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5758471,0.007787714,0.0000984255,0.390518,0.0006998227,0.0007969017,0.00002373741,0.000009896431,0.02421837],"genre_scores_gemma":[0.9846251,0.005128759,0.0008327492,0.001373754,0.000205275,0.000006792614,0.000001331078,0.0000197936,0.007806449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4526111,"threshold_uncertainty_score":0.9968835,"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."}}