{"id":"W4205897671","doi":"10.1503/cmaj.78967","title":"Belated acknowledgment","year":2021,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Medical Association","funders":"","keywords":"Chose; Racism; Medicine; Computer science; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007421214,0.001130934,0.00150098,0.001133765,0.004697853,0.006066845,0.003589507,0.02175116,0.02922262],"category_scores_gemma":[0.1165641,0.0006230316,0.00143966,0.0008188441,0.003675213,0.004802231,0.003773427,0.04867121,0.03378994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005039149,"about_ca_system_score_gemma":0.008020275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003310608,"about_ca_topic_score_gemma":0.004704915,"domain_scores_codex":[0.9866237,0.002708419,0.0008866217,0.001665901,0.006565313,0.001550021],"domain_scores_gemma":[0.9489034,0.01305733,0.003065004,0.0022459,0.02508889,0.007639428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009225019,0.000005399268,0.00006550355,0.00002612052,0.000003679488,0.0002431353,0.000101805,0.000009487493,0.00003367406,0.001637816,0.9953251,0.002538962],"study_design_scores_gemma":[0.00001374239,0.00001164952,0.0001754016,0.0002537132,0.000007388415,0.00159176,0.0003484927,0.00009640956,0.00006797973,0.004070567,0.9933373,0.0000256622],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001845533,0.002019049,0.0004938712,0.8284602,0.1574266,0.00003072751,0.0001302231,0.000160723,0.01109403],"genre_scores_gemma":[0.002908847,0.0009274434,0.0005024683,0.9174017,0.05182487,0.00007417789,0.0000683149,0.00009350237,0.02619865],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02922262,"threshold_uncertainty_score":0.09775949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01563011818918709,"score_gpt":0.2491737968347406,"score_spread":0.2335436786455535,"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."}}