{"id":"W2057359240","doi":"10.1007/s11017-009-9104-6","title":"Contextualizing clinical research: the epistemological role of clinical equipoise","year":2009,"lang":"en","type":"article","venue":"Metamedicine","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Mistake; Epistemology; Clinical equipoise; Miller; Constructive; Context (archaeology); Philosophy of medicine; Research ethics; Bioethics; Sociology; Engineering ethics; Philosophy of science; Psychology; Clinical trial; Philosophy; Medicine; Political science; Law; Alternative medicine; Computer science","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":[0.1314564,0.001041852,0.002227888,0.008358552,0.01162427,0.02144418,0.005043129,0.01142545,0.004874272],"category_scores_gemma":[0.1615124,0.001599385,0.001475065,0.004263009,0.1771874,0.03574494,0.02070322,0.01436833,0.0005006796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009896007,"about_ca_system_score_gemma":0.02034701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002983123,"about_ca_topic_score_gemma":0.00267588,"domain_scores_codex":[0.8574264,0.1230904,0.005168199,0.00604136,0.005474792,0.002798826],"domain_scores_gemma":[0.6372671,0.3063968,0.01093178,0.02659803,0.01263422,0.006172132],"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":[0.00001906756,0.0000260713,0.0004390072,0.0002172761,0.00002218179,0.00007380564,0.01447818,0.000212693,0.00006891249,0.979659,0.0004833679,0.004300509],"study_design_scores_gemma":[0.00003491263,0.00002435273,0.0002304583,0.000401094,0.0000212305,0.0001028372,0.007886325,0.0003701464,0.0001598268,0.9785125,0.01223779,0.00001848454],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04635173,0.02357511,0.4112846,0.2987721,0.003091887,0.0005688089,0.0002177823,0.0001923543,0.2159456],"genre_scores_gemma":[0.9262624,0.003556479,0.05639077,0.01053367,0.001134356,0.0006073794,0.00006134516,0.0001130453,0.001340571],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8685436,"threshold_uncertainty_score":0.6952161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8102676351094683,"score_gpt":0.6810200221602428,"score_spread":0.1292476129492255,"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."}}