{"id":"W1912651859","doi":"","title":"En arriver à des données de DME utilisables","year":2014,"lang":"fr","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"North York General Hospital","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.03635415,0.001101806,0.001630753,0.007280846,0.001781344,0.006924711,0.001889125,0.003219196,0.01824326],"category_scores_gemma":[0.2173954,0.0007569076,0.002432644,0.00969125,0.001756378,0.005359947,0.003121967,0.003576722,0.008808431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004646768,"about_ca_system_score_gemma":0.00927273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02831741,"about_ca_topic_score_gemma":0.0306821,"domain_scores_codex":[0.9582307,0.01713902,0.00703506,0.003881722,0.01278132,0.0009322314],"domain_scores_gemma":[0.8645914,0.09279435,0.006334334,0.01243995,0.02283975,0.00100022],"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":[0.002516746,0.0004775405,0.08214278,0.03011834,0.001721942,0.002836837,0.02025365,0.001585099,0.01230059,0.01629457,0.1017071,0.7280448],"study_design_scores_gemma":[0.0002170637,0.0004419022,0.06460889,0.01739176,0.001111263,0.002940091,0.01049868,0.001550756,0.01457124,0.01107949,0.8752657,0.0003231784],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.2086782,0.206743,0.183676,0.05648986,0.006241067,0.006143472,0.1886186,0.004615443,0.1387944],"genre_scores_gemma":[0.3805764,0.1224331,0.3335397,0.02131148,0.002607076,0.006137399,0.08846594,0.001955546,0.04297331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03635415,"threshold_uncertainty_score":0.1922615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05970910454157007,"score_gpt":0.3176005128848424,"score_spread":0.2578914083432723,"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."}}