{"id":"W3190483740","doi":"10.1097/acm.0000000000004344","title":"A Call for Climate Justice in Medical Curricula","year":2021,"lang":"en","type":"article","venue":"Academic Medicine","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Global health; Health care; Unconscionability; Health equity; Curriculum; Climate justice; Oppression; Political science; Public relations; Climate change; Law; Politics; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01437345,0.0008739092,0.001101715,0.001663415,0.006542556,0.008343756,0.005363985,0.03038075,0.02767583],"category_scores_gemma":[0.07603437,0.0009419956,0.001015824,0.001075914,0.005307213,0.006763826,0.005499329,0.02403947,0.007051609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01070231,"about_ca_system_score_gemma":0.02317986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01328203,"about_ca_topic_score_gemma":0.04455821,"domain_scores_codex":[0.9902598,0.001867097,0.0007115197,0.0008665514,0.00449547,0.00179949],"domain_scores_gemma":[0.9185398,0.02834649,0.003540651,0.002488173,0.0229722,0.02411269],"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":[0.00002216474,0.00006021868,0.0003097657,0.000153653,0.000006848559,0.0001714877,0.000391101,0.00003742981,0.00008298411,0.001001383,0.9764351,0.02132786],"study_design_scores_gemma":[0.00005874252,0.0000631866,0.002626547,0.0008665982,0.00001876158,0.0002328449,0.0009692064,0.0001266885,0.0001975754,0.001865874,0.9929281,0.00004589984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006095563,0.003095575,0.000144221,0.8845491,0.1091349,0.00001850958,0.00003533914,0.00007182155,0.002340985],"genre_scores_gemma":[0.01321414,0.005551111,0.0009063323,0.7787529,0.1882515,0.00008286918,0.00007419651,0.0001230189,0.01304399],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03038075,"threshold_uncertainty_score":0.09258491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0781328160809096,"score_gpt":0.4106879549779984,"score_spread":0.3325551388970888,"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."}}