{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002483325,0.0006003234,0.0005296114,0.0004472904,0.005457325,0.0001575021,0.0004305427,0.0006078134,0.0004243245],"category_scores_gemma":[0.0005083636,0.0007384669,0.0003648108,0.0004030578,0.0002203306,0.001019785,0.0002342445,0.001252948,0.00004924985],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009262768,"about_ca_system_score_gemma":0.004021157,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02614985,"about_ca_topic_score_gemma":0.002370177,"domain_scores_codex":[0.9943131,0.001938517,0.0009376199,0.0006077481,0.001344324,0.0008587493],"domain_scores_gemma":[0.9972941,0.0006569409,0.0007371954,0.0003290906,0.0004250182,0.0005576277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00485102,0.001574849,0.1229548,0.002225428,0.001597471,0.003011264,0.501814,0.009306301,0.2538507,0.02085403,0.0002360943,0.07772404],"study_design_scores_gemma":[0.005802221,0.0005117013,0.6885208,0.001483663,0.002816632,0.003889105,0.2029318,0.03410792,0.04583518,0.001912149,0.01109155,0.001097181],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9614229,0.006027806,0.008459631,0.0005112395,0.0007177604,0.001028487,0.0004532757,0.0001653659,0.02121358],"genre_scores_gemma":[0.9820886,0.002670416,0.003339054,0.0009234498,0.000332442,0.0001717596,0.003448943,0.00005722741,0.006968085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5655661,"threshold_uncertainty_score":0.9995067,"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."}}