{"id":"W4410266354","doi":"10.2196/preprints.76872","title":"Afterhours usage of the electronic health record among medical and surgical specialists after implementation of a system wide integrated clinical information system in Alberta, Canada: A longitudinal descriptive study (Preprint)","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Descriptive research; Electronic health record; Descriptive statistics; Information system; Longitudinal study; Medicine; Computer science; Engineering; World Wide Web; Health care; Political science; Sociology; Statistics","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":[0.001440028,0.0003118794,0.0003463261,0.001845641,0.001915108,0.001657721,0.001398218,0.0006566798,0.001452278],"category_scores_gemma":[0.003643615,0.0005045052,0.0007963857,0.004001099,0.0007510168,0.000826766,0.00123382,0.0009810569,0.0002860768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01721707,"about_ca_system_score_gemma":0.02053995,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.957777,"about_ca_topic_score_gemma":0.9732742,"domain_scores_codex":[0.9985653,0.0001325346,0.0001402445,0.0002084979,0.000482907,0.0004705816],"domain_scores_gemma":[0.9953995,0.0004445454,0.001382432,0.0001458148,0.001631954,0.0009957994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005274544,0.0000668924,0.9962607,0.00001743948,0.00002720322,0.00004953445,0.001782734,0.00002704938,0.00006561848,0.00001927089,0.0003559642,0.001274843],"study_design_scores_gemma":[0.00000330628,0.00005725156,0.9957151,0.00002098088,0.00001298136,0.00001917473,0.003867458,0.00006845034,0.00002198515,0.000004358575,0.0002010799,0.000007904433],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975466,0.0001416736,0.00004177583,0.0001027383,0.000005780757,0.0000379331,0.001655755,0.000004374574,0.0004633102],"genre_scores_gemma":[0.9966843,0.0002648568,0.0001504771,0.0001760342,0.000009173232,0.00005778,0.001714463,0.000004454444,0.0009384722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04222304,"threshold_uncertainty_score":0.1249192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03360086174021367,"score_gpt":0.4041928889062827,"score_spread":0.3705920271660691,"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."}}