{"id":"W1867737302","doi":"10.1017/mdh.2015.24","title":"Skills through History","year":2015,"lang":"en","type":"editorial","venue":"Medical History","topic":"Historical Psychiatry and Medical Practices","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"University of Toronto; Strong","keywords":"Computer science; Content (measure theory); World Wide Web; Multimedia; Action (physics); Information retrieval","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":[0.003713928,0.001895883,0.001034086,0.003127143,0.004018455,0.007737105,0.001683503,0.006944072,0.004913837],"category_scores_gemma":[0.01747203,0.0004487333,0.0006927031,0.0009748139,0.01177709,0.008260855,0.002997764,0.01744747,0.00219229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004145901,"about_ca_system_score_gemma":0.004942605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003378868,"about_ca_topic_score_gemma":0.008902006,"domain_scores_codex":[0.9961358,0.001446314,0.0002676159,0.0003713301,0.001533898,0.000244991],"domain_scores_gemma":[0.9911944,0.00606339,0.0003721667,0.0002897737,0.001237474,0.0008427296],"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":[0.00001000545,0.000009572737,0.00004529686,0.0002814224,0.000006143297,0.0001069482,0.0006957226,0.00003039664,0.00002573164,0.01449594,0.9710113,0.01328167],"study_design_scores_gemma":[0.00000413783,0.000006256952,0.0001235032,0.0005382998,0.000004563809,0.00009588213,0.0003580608,0.00002765509,0.00002066781,0.0101232,0.9886918,0.000005959389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001398273,0.0911487,0.0002915814,0.2536609,0.6427853,0.00001008354,0.0000206584,0.00004891964,0.01189395],"genre_scores_gemma":[0.006280904,0.0524072,0.0003059742,0.09912452,0.8166579,0.00002012802,0.00001969717,0.00003685995,0.02514681],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.007737105,"threshold_uncertainty_score":0.0300808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03811696113917075,"score_gpt":0.3557400137252012,"score_spread":0.3176230525860305,"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."}}