{"id":"W4392376108","doi":"","title":"Clinical information system acceptability factors (comparative evaluation Fance (HEGP) - Québec (CHUS))","year":2010,"lang":"fr","type":"preprint","venue":"OpenGrey (Institut de l'Information Scientifique et Technique)","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.03932391,0.0005323417,0.0008459211,0.002918828,0.001847407,0.003293944,0.0008115952,0.000871518,0.01375235],"category_scores_gemma":[0.1624643,0.0003187739,0.001833941,0.004257471,0.002050772,0.002264141,0.001705249,0.001281024,0.0007148358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02388193,"about_ca_system_score_gemma":0.03019096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3529559,"about_ca_topic_score_gemma":0.4078631,"domain_scores_codex":[0.9598847,0.02148711,0.002900291,0.001794165,0.01243847,0.001495319],"domain_scores_gemma":[0.8597755,0.07772818,0.008176317,0.003117044,0.04706832,0.004134665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003741055,0.00135186,0.5997338,0.003381,0.001285506,0.0001884095,0.01654895,0.002506893,0.0008128465,0.01324009,0.03962284,0.3175868],"study_design_scores_gemma":[0.000474816,0.00202187,0.9568211,0.001027063,0.0003798745,0.0001228659,0.003434878,0.002605302,0.000644021,0.00115261,0.03121231,0.000103319],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8069737,0.005310134,0.01209853,0.007079557,0.0004938492,0.01651999,0.01049044,0.0004237946,0.1406099],"genre_scores_gemma":[0.9700146,0.0007452976,0.009988733,0.0007099231,0.0000596814,0.008974051,0.001493298,0.00005961934,0.007954693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3529559,"threshold_uncertainty_score":0.7018028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1203216205022707,"score_gpt":0.4504314937203243,"score_spread":0.3301098732180536,"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."}}