{"id":"W4404481327","doi":"10.1080/17404622.2024.2427126","title":"Contours and canyons of health: Learning health equity through body mapping","year":2024,"lang":"en","type":"article","venue":"Communication Teacher","topic":"Empathy and Medical Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Humber Polytechnic; Toronto Metropolitan University","funders":"","keywords":"Psychology; Health equity; Canyon; Equity (law); Political science; Geography; Health care; Economics; Cartography; Economic growth","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":[],"consensus_categories":[],"category_scores_codex":[0.00452627,0.0007008143,0.000223103,0.0009170098,0.003992866,0.00663782,0.001189328,0.001661281,0.01262653],"category_scores_gemma":[0.008727822,0.0003449211,0.0004333102,0.0004548478,0.01249789,0.009733493,0.009734321,0.002921139,0.001352304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001556445,"about_ca_system_score_gemma":0.002539771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001058394,"about_ca_topic_score_gemma":0.001855369,"domain_scores_codex":[0.9980192,0.001426065,0.00002996785,0.0001597626,0.0001856723,0.0001792838],"domain_scores_gemma":[0.9964998,0.002528255,0.0001716945,0.0002473379,0.0001541086,0.0003988521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009579803,0.0003809018,0.003704404,0.0004712337,0.00001810899,0.0005626095,0.2414635,0.002582835,0.005023792,0.3776381,0.03067615,0.3373826],"study_design_scores_gemma":[0.00005619043,0.0002269679,0.003313976,0.001042653,0.00002237105,0.0006563462,0.1633508,0.005122026,0.005505738,0.5254896,0.2951498,0.00006349721],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2223062,0.002589817,0.3163801,0.06158245,0.001528007,0.0005195506,0.0001543258,0.000871896,0.3940678],"genre_scores_gemma":[0.8416062,0.002438297,0.1257646,0.002892193,0.0002065016,0.000468111,0.0001122269,0.0002648083,0.02624714],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01262653,"threshold_uncertainty_score":0.04223996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.126276438669901,"score_gpt":0.4421350626554597,"score_spread":0.3158586239855588,"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."}}