{"id":"W1977850141","doi":"10.1016/j.jbi.2013.10.010","title":"Electronic health record acceptance by physicians: Testing an integrated theoretical model","year":2013,"lang":"en","type":"article","venue":"Journal of Biomedical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":245,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières; Université Laval; Hôpital du Saint-Sacrement","funders":"Canadian Institutes of Health Research","keywords":"Technology acceptance model; Psychosocial; Usability; Specialty; Structural equation modeling; Variance (accounting); Electronic health record; Family medicine; Psychology; Medicine; Health records; Health information technology; Health care; Computer science; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004270721,0.000279562,0.0008866767,0.0002488756,0.000480357,0.00004211964,0.000677202,0.000385199,0.0004635779],"category_scores_gemma":[0.001310539,0.0001996198,0.0001111785,0.0007557159,0.0002896719,0.001095285,0.00007305456,0.003317629,0.0002151834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001472185,"about_ca_system_score_gemma":0.005542674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002336871,"about_ca_topic_score_gemma":0.00003202453,"domain_scores_codex":[0.9924822,0.0007676356,0.003957428,0.0001288767,0.0009348743,0.001729022],"domain_scores_gemma":[0.9939612,0.0009367507,0.002854118,0.000353839,0.0009287822,0.0009653393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009214668,0.000503238,0.000840243,0.00124891,0.0001102377,0.000002229711,0.009876569,0.00005625736,0.0005406215,0.008151058,0.3576619,0.6209166],"study_design_scores_gemma":[0.00259188,0.005206437,0.0001877258,0.002669074,0.00003704065,0.00009188124,0.01682542,0.8324692,0.00002505881,0.01601535,0.1233579,0.0005230684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4722068,0.0009414491,0.4997357,0.01819402,0.002103315,0.00256113,0.00006395656,0.0002467489,0.003946943],"genre_scores_gemma":[0.9001089,0.0008901931,0.07115867,0.02558369,0.00143203,0.0001167434,0.00007540688,0.0001031862,0.0005311131],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8324129,"threshold_uncertainty_score":0.9989818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03917361619206767,"score_gpt":0.3979412814023379,"score_spread":0.3587676652102703,"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."}}