{"id":"W132529797","doi":"10.3414/me0557","title":"Replacing an Inpatient Electronic Medical Record","year":2008,"lang":"en","type":"article","venue":"Methods of Information in Medicine","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Likert scale; Quality (philosophy); Scale (ratio); Medical record; Medicine; Patient satisfaction; Electronic medical record; Patient safety; Electronic health record; Family medicine; Medical education; Psychology; Nursing; Health care","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001441662,0.0001756967,0.0001428592,0.0003764107,0.0006156599,0.0009562979,0.0005677872,0.0002955071,0.007594055],"category_scores_gemma":[0.01290954,0.00008220754,0.0002111569,0.0006761737,0.0004964686,0.0006144491,0.0008404824,0.0003793605,0.001001209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001459633,"about_ca_system_score_gemma":0.003606974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01469452,"about_ca_topic_score_gemma":0.02225438,"domain_scores_codex":[0.9978442,0.0007042837,0.0002707216,0.0001097654,0.0008121135,0.000258907],"domain_scores_gemma":[0.9902647,0.002519502,0.003884465,0.0005102912,0.00162706,0.001193989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002694107,0.0004401099,0.7118372,0.0006086705,0.00005397165,0.0008194214,0.002540434,0.0001945795,0.003496371,0.0003071875,0.007684486,0.2717482],"study_design_scores_gemma":[0.00002931641,0.001083411,0.9630411,0.0004875623,0.00008147796,0.00322497,0.006444461,0.0006152659,0.002073815,0.000122233,0.02276616,0.00003016249],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839154,0.0008957492,0.001048852,0.00234747,0.00007967319,0.0001200867,0.0004686433,0.00008933659,0.01103486],"genre_scores_gemma":[0.9931278,0.0009196355,0.002198319,0.00104832,0.00007698192,0.00003061685,0.0003717701,0.00001024795,0.002216312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01469452,"threshold_uncertainty_score":0.02921796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.10337974346078,"score_gpt":0.5398332151324169,"score_spread":0.4364534716716369,"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."}}