{"id":"W3116783244","doi":"10.3138/utq.91.1.003","title":"Tailor Made, Skylarking, and Making in the Humanities","year":2021,"lang":"en","type":"article","venue":"University of Toronto Quarterly","topic":"Empathy and Medical Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Storytelling; Institution; Context (archaeology); Event (particle physics); Narrative; Socialization; Humanities; Sociology; Punishment (psychology); Creativity; Order (exchange); Reflection (computer programming); Aesthetics; Perspective (graphical); Media studies; Visual arts; Psychology; Social psychology; History; Art; Literature; Social science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.006097062,0.0004718994,0.000169851,0.001081018,0.01120344,0.01170883,0.0008410196,0.001906996,0.004820833],"category_scores_gemma":[0.009284929,0.0002727237,0.0002163169,0.0007907976,0.04532234,0.008028352,0.008681836,0.00275629,0.0004634822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005661833,"about_ca_system_score_gemma":0.003468776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005877067,"about_ca_topic_score_gemma":0.01464721,"domain_scores_codex":[0.9930115,0.005465212,0.00009544552,0.0003051453,0.0005503806,0.0005724088],"domain_scores_gemma":[0.9934762,0.003763493,0.0005773422,0.0008072272,0.000242076,0.001133617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004023101,0.00004554273,0.001961047,0.0001100091,0.000008374213,0.0006578552,0.687254,0.0003635375,0.001002673,0.2664554,0.0196507,0.02245065],"study_design_scores_gemma":[0.00001542187,0.000080607,0.00181387,0.0002500519,0.00001126056,0.0005366096,0.3512734,0.0003447292,0.001589198,0.05158853,0.5924619,0.00003438527],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4547657,0.006339604,0.02462094,0.1121197,0.001664123,0.000236729,0.0001318989,0.000282259,0.3998392],"genre_scores_gemma":[0.966904,0.0009870435,0.004553637,0.003138172,0.0001704648,0.0000736958,0.00002805547,0.00008853553,0.02405623],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01170883,"threshold_uncertainty_score":0.04107964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818496858621537,"score_gpt":0.2472597969017929,"score_spread":0.2290748283155775,"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."}}