{"id":"W3172292263","doi":"10.2196/28266","title":"Usage Patterns of Web-Based Stroke Calculators in Clinical Decision Support: Retrospective Analysis","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Calculator; Stroke (engine); Medicine; Atrial fibrillation; Computer science; Medical emergency; Emergency medicine; Internal medicine","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":[0.004321213,0.0002791242,0.0006945689,0.005651718,0.0004910362,0.001404073,0.0007060741,0.0004617962,0.001215281],"category_scores_gemma":[0.01739627,0.0005358717,0.0008268987,0.008325493,0.0005659369,0.001539007,0.001121291,0.0006100333,0.000415309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008381563,"about_ca_system_score_gemma":0.001138997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006759566,"about_ca_topic_score_gemma":0.006022691,"domain_scores_codex":[0.9919317,0.001653091,0.002804341,0.001278589,0.00180319,0.0005290171],"domain_scores_gemma":[0.9747282,0.006966618,0.01246518,0.001429403,0.003485742,0.0009247935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008192306,0.00002195037,0.9973418,0.00006723889,0.00006664917,0.00004684384,0.0001557587,0.00004028902,0.00003852578,0.00002206282,0.0001991464,0.001917738],"study_design_scores_gemma":[0.0000131696,0.0001312827,0.9957427,0.0001390318,0.0001381198,0.0006526208,0.000939067,0.0007431275,0.0002482354,0.00005268163,0.001179909,0.00001997861],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993622,0.001341715,0.0004704772,0.00006948542,0.000008414654,0.0001072553,0.003702242,0.00001534636,0.0006631151],"genre_scores_gemma":[0.9964676,0.0005775414,0.0004715558,0.00007155156,0.00001469669,0.0001336396,0.002148682,0.00001508817,0.00009967248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006759566,"threshold_uncertainty_score":0.02285308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554492178572248,"score_gpt":0.3415691636310684,"score_spread":0.3260242418453459,"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."}}