{"id":"W4407028783","doi":"10.36834/cmej.80634","title":"Indigenous allyship in medical education","year":2025,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Global Health and Surgery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Computational biology; Computer science; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005612319,0.0001490748,0.0002316679,0.0009237336,0.00965705,0.003665343,0.0006320809,0.002507032,0.01362687],"category_scores_gemma":[0.01026005,0.0001394251,0.0001604886,0.001345206,0.008566621,0.003445813,0.006372617,0.004495161,0.0008971441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00989876,"about_ca_system_score_gemma":0.02815331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1814427,"about_ca_topic_score_gemma":0.3530374,"domain_scores_codex":[0.9948229,0.002102077,0.000146721,0.0002005458,0.001329034,0.001398727],"domain_scores_gemma":[0.9915773,0.002215667,0.0005010298,0.0001708485,0.001126232,0.004408865],"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":[0.00006993538,0.0001394936,0.0054799,0.0008414859,0.00001818619,0.0006061781,0.1404397,0.00009007292,0.0003204076,0.3123779,0.3443702,0.1952465],"study_design_scores_gemma":[0.00001700813,0.00006482199,0.01305833,0.0012549,0.00001019814,0.0003225165,0.05852024,0.00006250313,0.0001030222,0.01456268,0.9119983,0.00002545431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.03352053,0.0985848,0.0003712365,0.6410189,0.01297521,0.00003876971,0.00005798306,0.0000355241,0.2133971],"genre_scores_gemma":[0.7353264,0.06389485,0.0007717634,0.06385763,0.007461367,0.00005933912,0.00005642364,0.00004600207,0.1285262],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1814427,"threshold_uncertainty_score":0.3607731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008981636050074198,"score_gpt":0.3427667346795811,"score_spread":0.3337850986295069,"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."}}