{"id":"W4414013191","doi":"10.36834/cmej.82095","title":"Rural Immersion: lessons for equitable medical training worldwide on addressing rural physician shortages through longitudinal community-engagement training","year":2025,"lang":"en","type":"letter","venue":"Canadian Medical Education Journal","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic shortage; Training (meteorology); Medical education; Medicine; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01104537,0.0008731626,0.0007865304,0.000389,0.01308522,0.006873058,0.003050067,0.05782392,0.03520902],"category_scores_gemma":[0.01959176,0.0007811174,0.001245521,0.0004251289,0.004828056,0.009664743,0.0107651,0.03758662,0.005361468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006995109,"about_ca_system_score_gemma":0.0501304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03101444,"about_ca_topic_score_gemma":0.1076206,"domain_scores_codex":[0.995047,0.00139867,0.0003032787,0.0003915327,0.0008528563,0.002006671],"domain_scores_gemma":[0.9699405,0.006646167,0.0006791365,0.0005178264,0.002705663,0.01951065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005644602,0.0002992389,0.001052751,0.0001753443,0.00001102418,0.001347422,0.002429954,0.0000567956,0.0006700003,0.004170982,0.9700127,0.01971727],"study_design_scores_gemma":[0.0002607981,0.0002841694,0.004341571,0.001065693,0.00002726839,0.0009558946,0.02402505,0.0002383778,0.0002319538,0.01048299,0.9579783,0.0001079299],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0009759133,0.0005093169,0.00009420274,0.9894382,0.006488757,0.00001967653,0.00001677881,0.00002413422,0.002432879],"genre_scores_gemma":[0.01085803,0.0008020149,0.0005939744,0.9610959,0.008927523,0.0001430341,0.00002263698,0.00004950723,0.01750737],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05782392,"threshold_uncertainty_score":0.1177859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2432155960557231,"score_gpt":0.4944064817863741,"score_spread":0.251190885730651,"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."}}