{"id":"W2735253246","doi":"10.1136/medhum-2017-011230","title":"Digital medical humanities: stage-to-screen lessons from a five year initiative","year":2017,"lang":"en","type":"article","venue":"Medical Humanities","topic":"Empathy and Medical Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Izaak Walton Killam Health Centre; Dalhousie University; BC Children's Hospital; University of British Columbia","funders":"Faculty of Medicine, Dalhousie University; Dalhousie University","keywords":"Curriculum; Medical humanities; Session (web analytics); Affordance; Autonomy; Medical education; Humanities; Psychology; Sociology; Multimedia; Medicine; Pedagogy; Art; Political science; Computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006689729,0.0008547641,0.0003200825,0.0007874817,0.004574989,0.004264021,0.002797214,0.0022949,0.009187354],"category_scores_gemma":[0.008161983,0.0003504885,0.0005257314,0.0005051589,0.002972209,0.00366267,0.00922441,0.003355816,0.002295749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002546175,"about_ca_system_score_gemma":0.003527704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001901886,"about_ca_topic_score_gemma":0.01140772,"domain_scores_codex":[0.9964125,0.002026421,0.0001052782,0.0001744254,0.0005343361,0.0007472144],"domain_scores_gemma":[0.9940481,0.001727256,0.0001577656,0.0002963583,0.00031006,0.003460413],"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":[0.0003158852,0.009328167,0.007911016,0.0008358288,0.0000246242,0.00781488,0.250519,0.0008952357,0.004275798,0.03012513,0.1831079,0.5048466],"study_design_scores_gemma":[0.0000796994,0.002120225,0.008468619,0.0006825678,0.00001813457,0.004363528,0.1517003,0.001047425,0.002932527,0.01029349,0.8182008,0.00009269951],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6830149,0.005534723,0.04084877,0.08822636,0.003892241,0.002132199,0.000433395,0.001564836,0.1743526],"genre_scores_gemma":[0.8222876,0.005614141,0.06419002,0.007529438,0.0008960101,0.00104543,0.0006097667,0.0004252131,0.09740233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009187354,"threshold_uncertainty_score":0.03537911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09685120699210323,"score_gpt":0.3657459786105783,"score_spread":0.2688947716184751,"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."}}