{"id":"W3126824501","doi":"10.2196/23306","title":"The Effect of Innovation Capabilities of Health Care Organizations on the Quality of Health Information Technology: Model Development With Cross-sectional Data","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sociotechnical system; Knowledge management; Workflow; Context (archaeology); Structural equation modeling; Quality (philosophy); Health information technology; Conceptual model; Information quality; Health care; Health informatics; Information technology; Information system; Process management; Quality management; Business; Computer science; Marketing; Engineering; Database; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.04615584,0.002144956,0.00170768,0.003774266,0.001459072,0.003567581,0.003899691,0.002684437,0.0100762],"category_scores_gemma":[0.04727129,0.001611686,0.005506701,0.002797498,0.00200529,0.003312848,0.003752259,0.003655276,0.001219114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003286508,"about_ca_system_score_gemma":0.005285953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02159332,"about_ca_topic_score_gemma":0.008219366,"domain_scores_codex":[0.9816706,0.01442314,0.0006743323,0.001603831,0.0006938349,0.0009343196],"domain_scores_gemma":[0.8321917,0.1516046,0.007097455,0.003111156,0.004599944,0.001395186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001504722,0.002674648,0.8511866,0.0005921189,0.004692026,0.000429673,0.004019493,0.09997875,0.0004223251,0.00866771,0.002495374,0.02333661],"study_design_scores_gemma":[0.0006739437,0.002804775,0.1470627,0.0005479157,0.003453203,0.0003201055,0.003346557,0.8300876,0.0008217721,0.00787822,0.00284548,0.0001577231],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9565864,0.0005000799,0.03643735,0.0009868075,0.00008028573,0.001137012,0.002015947,0.0002268741,0.002029341],"genre_scores_gemma":[0.9713851,0.0003502053,0.02191377,0.0001049126,0.00003859387,0.003075571,0.001978023,0.00002813336,0.001125653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04615584,"threshold_uncertainty_score":0.2440983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07662799815557174,"score_gpt":0.4717686949455424,"score_spread":0.3951406967899706,"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."}}