{"id":"W4282821626","doi":"10.12688/mep.19114.1","title":"Exploring possibilities of harmonising social justice with medical education through the use of CanMeds and AfriMeds when engaging in discipline integration","year":2022,"lang":"en","type":"article","venue":"MedEdPublish","topic":"Innovations in Medical Education","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute for the Humanities and Social Sciences","keywords":"Curriculum; Economic Justice; Engineering ethics; Style (visual arts); Sociology; Social justice; Political science; Public relations; Medical education; Pedagogy; Medicine; Law; Engineering; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001264563,0.0001039317,0.0002340807,0.000251832,0.0002749005,0.00004204635,0.000136952,0.00004569914,0.0001744634],"category_scores_gemma":[0.004595006,0.00007461468,0.00002446792,0.0008680078,0.0003435382,0.0007961805,0.0001195713,0.0006162393,8.995544e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002240038,"about_ca_system_score_gemma":0.001219339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001107848,"about_ca_topic_score_gemma":0.0001573436,"domain_scores_codex":[0.9980363,0.000187686,0.0005074377,0.0001976908,0.0009061578,0.0001646866],"domain_scores_gemma":[0.9989154,0.0002806284,0.0002174691,0.0002167989,0.0003373045,0.00003243614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005780226,0.001763668,0.01891468,0.0009038654,0.0001152152,0.000007197003,0.4209897,0.00009829632,0.0009887374,0.04489256,0.03133222,0.4794159],"study_design_scores_gemma":[0.003969877,0.0007909188,0.1234765,0.002036409,0.0006872923,0.0001909068,0.8259488,0.009364471,0.003919019,0.00589686,0.02318617,0.0005327588],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681439,0.00009583127,0.001415114,0.02887805,0.0005921158,0.000334279,0.000005386712,0.00001820648,0.0005171534],"genre_scores_gemma":[0.9927747,0.00001872007,0.005252957,0.001169797,0.0002600037,0.0002002896,0.0001155231,0.00001715737,0.0001908318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4788831,"threshold_uncertainty_score":0.5500984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1640609788653252,"score_gpt":0.3515028308099871,"score_spread":0.1874418519446619,"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."}}