{"id":"W2805037851","doi":"10.1080/24740527.2018.1479841","title":"Mapping of pain curricula across health professions programs at the University of Toronto","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Pain","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"University of Toronto","keywords":"Curriculum; Health professions; Medical education; Competence (human resources); Health care; Content analysis; Medicine; Psychology; Nursing; Pedagogy; Sociology; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006516854,0.00008551629,0.0002287709,0.00005483746,0.00144001,0.000004368927,0.0002758235,0.0001097748,0.001945601],"category_scores_gemma":[0.0005670495,0.00006200116,0.00008021192,0.0002606091,0.0002517923,0.0001153884,0.00003227364,0.0003050207,0.00001710169],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001030056,"about_ca_system_score_gemma":0.008618046,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05806021,"about_ca_topic_score_gemma":0.7254391,"domain_scores_codex":[0.9960518,0.002738069,0.000557553,0.0000917108,0.00019573,0.0003650903],"domain_scores_gemma":[0.9970254,0.0003180608,0.0009502964,0.000196386,0.001100239,0.0004096605],"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":[0.0001590472,0.0001169532,0.1690838,0.0003851294,0.00007909448,0.00000855011,0.3108889,0.00000354486,0.0005754202,0.001775753,0.4293969,0.08752698],"study_design_scores_gemma":[0.0006355441,0.0005237327,0.07511927,0.003624597,0.00001068849,0.00000439833,0.4868621,0.0002201535,0.00003025964,0.0002168348,0.4326215,0.0001309203],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9505787,0.001817253,0.004405518,0.03664666,0.002898487,0.00113954,0.00008996977,0.00001087778,0.002412952],"genre_scores_gemma":[0.9932162,0.00002595881,0.000524908,0.001793231,0.0002665094,0.000002884092,0.0000121809,0.000009753028,0.004148402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6673789,"threshold_uncertainty_score":0.99986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03599428997177358,"score_gpt":0.3900843028451373,"score_spread":0.3540900128733637,"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."}}