{"id":"W7104251501","doi":"10.71781/1212","title":"Évaluation d’un outil informatisé pour soutenir la prescription dans un établissement de santé pédiatrique : sécurité de l’usage des médicaments en pré et post-implantation","year":2022,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Pharmaceutical Quality and Counterfeiting","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical prescription; Context (archaeology); Information scientist","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02087266,0.001486172,0.001299884,0.002020677,0.0008816342,0.004828085,0.001436547,0.001610958,0.005444018],"category_scores_gemma":[0.05633873,0.0005042905,0.001500971,0.00128643,0.0009869533,0.002398686,0.001446904,0.0009944396,0.0009469962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003139348,"about_ca_system_score_gemma":0.006280792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009327242,"about_ca_topic_score_gemma":0.009708454,"domain_scores_codex":[0.9846842,0.008392129,0.001346713,0.0009257668,0.004203675,0.0004475738],"domain_scores_gemma":[0.9167585,0.05227241,0.005834616,0.003555019,0.02004455,0.001534929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02042187,0.003528551,0.06526812,0.01952644,0.001430634,0.0007239389,0.008807093,0.0147381,0.02984802,0.004426187,0.01165019,0.8196308],"study_design_scores_gemma":[0.005315038,0.08415158,0.2905815,0.01864029,0.01300596,0.00313575,0.01936704,0.1276749,0.2025984,0.007208101,0.2270231,0.00129838],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8309888,0.01499537,0.09672081,0.003377077,0.000847185,0.009288544,0.006077817,0.003026728,0.03467771],"genre_scores_gemma":[0.817636,0.005429277,0.1539175,0.001215118,0.0002009776,0.004985045,0.00492271,0.0003132469,0.01138022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02087266,"threshold_uncertainty_score":0.1103866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0135929778769709,"score_gpt":0.2567256189349939,"score_spread":0.243132641058023,"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."}}