{"id":"W2799930623","doi":"10.2196/medinform.8912","title":"Reasons For Physicians Not Adopting Clinical Decision Support Systems: Critical Analysis","year":2018,"lang":"en","type":"review","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":357,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clinical decision support system; Computer science; Adaptation (eye); Task (project management); Decision support system; Implementation; User requirements document; Knowledge management; Artificial intelligence; Software engineering; Systems engineering; Engineering; Psychology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2345424,0.001077627,0.001075502,0.01283688,0.006082933,0.009657412,0.003117869,0.003493272,0.002503625],"category_scores_gemma":[0.6018103,0.001149533,0.002458282,0.006208152,0.006018921,0.007917184,0.004342879,0.004975684,0.0003984181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02114099,"about_ca_system_score_gemma":0.03770557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005238203,"about_ca_topic_score_gemma":0.004798709,"domain_scores_codex":[0.7607306,0.1496781,0.03421048,0.006665284,0.04410135,0.004614187],"domain_scores_gemma":[0.1900261,0.6298725,0.05924083,0.007371213,0.1087458,0.004743573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001947195,0.0006031432,0.1245436,0.03050822,0.001117305,0.004233834,0.3125651,0.002262371,0.00323311,0.02620748,0.0606094,0.4321694],"study_design_scores_gemma":[0.0007066627,0.003012191,0.09679081,0.06616284,0.002468331,0.006640425,0.4983477,0.01449079,0.01208614,0.05860874,0.239169,0.001516393],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5034754,0.05977758,0.05223055,0.3432665,0.004504144,0.01344845,0.001141309,0.0006772291,0.02147888],"genre_scores_gemma":[0.9145014,0.01116202,0.04584129,0.02190925,0.0009166143,0.003877527,0.0002991151,0.0001879072,0.001304988],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.2345424,"threshold_uncertainty_score":0.9439455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2051662262378013,"score_gpt":0.5933476856428958,"score_spread":0.3881814594050944,"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."}}