{"id":"W2937218478","doi":"10.2196/12469","title":"Interruptive Versus Noninterruptive Clinical Decision Support: Usability Study","year":2019,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Agency for Healthcare Research and Quality","keywords":"Usability; Computer science; Pluralistic walkthrough; Web usability; Human–computer interaction","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":[0.04631706,0.0006207766,0.001277451,0.00114203,0.0008752162,0.001661292,0.0008166392,0.0008371111,0.002006687],"category_scores_gemma":[0.09828574,0.0004857465,0.001506838,0.0009430418,0.001408879,0.002091551,0.001239151,0.0009007668,0.000206414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001480235,"about_ca_system_score_gemma":0.001702394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008929312,"about_ca_topic_score_gemma":0.001193462,"domain_scores_codex":[0.9656914,0.02351125,0.004667832,0.001701478,0.003498827,0.0009291467],"domain_scores_gemma":[0.8650802,0.1107824,0.00762497,0.003800592,0.01012716,0.002584666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.06274416,0.07550108,0.2988474,0.01806194,0.003102843,0.0008655677,0.1117716,0.00320295,0.01112309,0.001731503,0.003771213,0.4092767],"study_design_scores_gemma":[0.02201121,0.3980146,0.4773491,0.003655888,0.002854761,0.001020066,0.0540644,0.01386566,0.01002515,0.001789617,0.01456242,0.0007870887],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961359,0.0002456014,0.001169703,0.00006422831,0.00003792945,0.001603589,0.00005688241,0.00001526227,0.0006709235],"genre_scores_gemma":[0.9867277,0.0003300394,0.007287398,0.0001885752,0.00005244825,0.004983306,0.0001071205,0.00001799739,0.000305466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04631706,"threshold_uncertainty_score":0.244951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1962325679092822,"score_gpt":0.5627060632478116,"score_spread":0.3664734953385294,"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."}}