{"id":"W6940076441","doi":"10.6084/m9.figshare.c.7180905","title":"A logic framework for addressing medical racism in academic medicine: an analysis of qualitative data","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"","keywords":"Racism; Thematic analysis; Narrative; Context (archaeology); Harm; Prejudice (legal term); Empathy; Inclusion (mineral); Health care","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.08605237,0.000691816,0.0007773982,0.006853507,0.007652643,0.006867296,0.002531099,0.001451453,0.002077503],"category_scores_gemma":[0.0984208,0.0007755451,0.000680932,0.007772077,0.01380673,0.008580183,0.007865219,0.002554177,0.0001989901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01922696,"about_ca_system_score_gemma":0.01935001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0151035,"about_ca_topic_score_gemma":0.0170543,"domain_scores_codex":[0.9391491,0.04991664,0.002142822,0.001761753,0.004480854,0.002548793],"domain_scores_gemma":[0.8601129,0.1194274,0.006702942,0.002356808,0.01009435,0.001305713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002106555,0.0000246618,0.004196645,0.000524235,0.000009072727,0.0003706159,0.9795865,0.0001379421,0.0002787834,0.007025488,0.0005131075,0.007311876],"study_design_scores_gemma":[0.000004432671,0.00001646221,0.001783906,0.0008187819,0.000007286749,0.000138551,0.989045,0.0004550364,0.0002162891,0.002419644,0.005081403,0.00001321828],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9150211,0.001862863,0.05205086,0.01198262,0.0001227485,0.003271364,0.001141381,0.00007021987,0.01447683],"genre_scores_gemma":[0.9691316,0.0009799098,0.02481084,0.00105837,0.00001742751,0.002444905,0.0003387358,0.00005565487,0.001162443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9923474,"threshold_uncertainty_score":0.4550939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3602706924240551,"score_gpt":0.4797440313448336,"score_spread":0.1194733389207785,"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."}}