{"id":"W4367555305","doi":"10.1503/cmaj.221589","title":"Easing pain","year":2023,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Nursing Education, Practice, and Leadership","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Temerty Faculty of Medicine, University of Toronto; University of Toronto","keywords":"Computer science; Medicine; World Wide Web; Internet privacy; Data science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001258591,0.0007270239,0.0006707668,0.0009200506,0.002193247,0.002339734,0.001008714,0.002390306,0.05293993],"category_scores_gemma":[0.009082746,0.0002390073,0.001114608,0.0003129131,0.002438901,0.002693509,0.002993683,0.006984518,0.01894644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009124916,"about_ca_system_score_gemma":0.001834256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001795922,"about_ca_topic_score_gemma":0.003238971,"domain_scores_codex":[0.9984745,0.0003493343,0.00006201312,0.0001497609,0.0006322883,0.0003320632],"domain_scores_gemma":[0.9981462,0.0004111827,0.0001584209,0.000139518,0.0004485715,0.0006961516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000265637,0.0006285858,0.00195529,0.001080926,0.0001592951,0.00149733,0.00256593,0.0001576992,0.003959337,0.01585946,0.5930044,0.378866],"study_design_scores_gemma":[0.0001787546,0.0007687001,0.006922704,0.003418132,0.0001022793,0.01444061,0.005193853,0.0002875692,0.001290244,0.02047157,0.9468282,0.00009735651],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03780672,0.111155,0.03529993,0.3153746,0.05094509,0.0004105864,0.0005415682,0.00302947,0.4454371],"genre_scores_gemma":[0.2922539,0.1026647,0.03244632,0.2042482,0.02007045,0.0005936296,0.0005840557,0.001402348,0.3457365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05293993,"threshold_uncertainty_score":0.1771017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02149166366529457,"score_gpt":0.2951244223049493,"score_spread":0.2736327586396547,"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."}}