{"id":"W2807989045","doi":"10.24919/2308-4634.2018.133873","title":"ПЕРІОДИЗАЦІЯ РОЗВИТКУ ПРОФЕСІЙНОЇ ОСВІТИ ФАХІВЦІВ З МЕДИЧНОЇ ІНФОРМАТИКИ У КАНАДІ","year":2018,"lang":"uk","type":"article","venue":"Молодь і ринок","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health informatics; Public health informatics; Health Administration Informatics; Informatics; Business informatics; Health care; Curriculum; Medical education; Engineering informatics; Medicine; Health education; Nursing; Political science; HRHIS; Pedagogy; Sociology; Public health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"empirical","about_ca_system":true,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"other","about_ca_system":false,"about_ca_topic":true,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002755807,0.0003932832,0.0002905429,0.004318426,0.003851103,0.006207481,0.0008362576,0.0007906996,0.00721812],"category_scores_gemma":[0.005500284,0.0004941414,0.00049262,0.00515156,0.004970278,0.002038789,0.001633018,0.002042776,0.002149423],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01537568,"about_ca_system_score_gemma":0.03347376,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3908318,"about_ca_topic_score_gemma":0.4573665,"domain_scores_codex":[0.9957222,0.0004915284,0.0001995003,0.0003551941,0.002751565,0.0004799975],"domain_scores_gemma":[0.9965398,0.0009898389,0.0004560801,0.0002259481,0.001519474,0.0002687656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007007948,0.00007461509,0.0125664,0.00147006,0.00005272124,0.001407356,0.02284536,0.001597489,0.004165553,0.4310144,0.01875675,0.5059792],"study_design_scores_gemma":[0.0000148069,0.00005752571,0.0275193,0.001055536,0.00005777157,0.001134192,0.01267796,0.0009419689,0.004831157,0.03820707,0.9133947,0.0001079558],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1012358,0.08109896,0.09875372,0.02543723,0.001384809,0.0004993048,0.001755935,0.0005690506,0.6892653],"genre_scores_gemma":[0.7693587,0.07898749,0.06177245,0.001826437,0.0003332689,0.000318824,0.000816834,0.0002885063,0.08629738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9846243,"threshold_uncertainty_score":0.7771137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0547239316698731,"score_gpt":0.4168064543015951,"score_spread":0.362082522631722,"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."}}