{"id":"W2058527790","doi":"10.1136/bmj.324.7345.1071","title":"Father of all bias?","year":2002,"lang":"en","type":"article","venue":"BMJ","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Minimisation (clinical trials); Gender bias; Psychology; Epistemology; Statistics; Philosophy; Social psychology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1325199,0.001336292,0.003967366,0.003208855,0.003782276,0.01300203,0.003623575,0.01201421,0.01538427],"category_scores_gemma":[0.3357188,0.0009154249,0.001315591,0.003086913,0.03192095,0.01747383,0.007108117,0.01833318,0.005756261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005384442,"about_ca_system_score_gemma":0.01090001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002446678,"about_ca_topic_score_gemma":0.001951065,"domain_scores_codex":[0.8326153,0.1205525,0.009239425,0.01050321,0.02439911,0.002690624],"domain_scores_gemma":[0.6995727,0.2411017,0.01150901,0.02761184,0.01624872,0.003956051],"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":[0.0001367997,0.00002998798,0.001828916,0.001594126,0.0003486667,0.000203768,0.004147991,0.0001895205,0.0001223782,0.6943167,0.1801922,0.1168889],"study_design_scores_gemma":[0.00006288263,0.00004290538,0.0005060514,0.003981325,0.00008870621,0.0005275258,0.0009314316,0.0002686981,0.0002276398,0.599654,0.3936632,0.00004553242],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001183973,0.117824,0.0261844,0.7688772,0.04775253,0.00009762844,0.0003417857,0.0002894858,0.03744902],"genre_scores_gemma":[0.1183614,0.09483345,0.04228328,0.6000388,0.1154591,0.000953957,0.0004456029,0.0008755446,0.02674894],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.86748,"threshold_uncertainty_score":0.7008407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5000367782126125,"score_gpt":0.5124239734288496,"score_spread":0.0123871952162371,"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."}}