{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004270359,0.0004632545,0.001144636,0.0002621996,0.0007187276,0.000027497,0.0007544699,0.0005715721,0.008831064],"category_scores_gemma":[0.00081228,0.0003710417,0.0003316732,0.0003405166,0.0001424401,0.000313271,0.0005057097,0.002737331,0.008173243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001772303,"about_ca_system_score_gemma":0.0009116638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001123287,"about_ca_topic_score_gemma":0.004414943,"domain_scores_codex":[0.9911391,0.002966774,0.002555836,0.001163161,0.0007834073,0.001391707],"domain_scores_gemma":[0.991819,0.004995991,0.0008676762,0.001374067,0.000390341,0.0005528902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009313999,0.0008484926,0.9693635,0.000118092,0.0001106578,0.000005811237,0.02225592,3.661462e-7,0.00002252232,0.0001888766,0.004280847,0.001873517],"study_design_scores_gemma":[0.006837015,0.008931017,0.9159346,0.0002105923,0.00003001111,4.966595e-7,0.04291784,0.00002087499,0.000006419046,0.0001138422,0.02459993,0.000397388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666051,0.00001124915,0.00004204277,0.0000592737,0.008346357,0.007310111,0.00003263317,0.000280625,0.01731255],"genre_scores_gemma":[0.9928757,0.000002821633,0.00003446868,0.0001798251,0.0005698569,0.0004288041,0.00004005897,0.00007987269,0.005788614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05342893,"threshold_uncertainty_score":0.9998742,"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."}}