{"id":"W4392839141","doi":"10.2196/55802","title":"Clinical Decision Support Requirements for Ventricular Tachycardia Diagnosis Within the Frameworks of Knowledge and Practice: Survey Study","year":2024,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multidisciplinary approach; Likert scale; Ventricular tachycardia; Medicine; Clinical decision support system; Clinical Practice; Specialty; Supraventricular tachycardia; Decision support system; Medical physics; Medical emergency; Family medicine; Psychology; Internal medicine; Tachycardia; Computer science; Data mining","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":[0.008674087,0.0001792129,0.0003970011,0.002103377,0.0007198557,0.001497971,0.0004518541,0.0008133732,0.001620385],"category_scores_gemma":[0.02716098,0.0003516462,0.0006817247,0.001568197,0.0007190548,0.002081521,0.001533778,0.000961462,0.000327703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002132386,"about_ca_system_score_gemma":0.00264607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0033023,"about_ca_topic_score_gemma":0.003590856,"domain_scores_codex":[0.9939732,0.002301248,0.0009901603,0.0004482395,0.001334223,0.0009529378],"domain_scores_gemma":[0.9750314,0.01254262,0.005152392,0.0005308957,0.003876583,0.002866058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000552038,0.0004469046,0.9490183,0.0002507489,0.0000482235,0.0004334552,0.02975822,0.0002793555,0.0003260951,0.0002177561,0.0007797891,0.01838592],"study_design_scores_gemma":[0.00002318118,0.0006832222,0.8977864,0.000217312,0.00004261477,0.0007771867,0.09129442,0.003478895,0.0003273497,0.0002058397,0.005107802,0.000055743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986902,0.00008448149,0.0002645749,0.0002067726,0.000002780867,0.00007292051,0.0001081017,0.000004801796,0.0005654617],"genre_scores_gemma":[0.9987992,0.0001488963,0.0005838995,0.00009199771,0.000005108062,0.00009306226,0.0001291034,0.000002253472,0.0001464486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008674087,"threshold_uncertainty_score":0.04587352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1126429310244567,"score_gpt":0.48958935123585,"score_spread":0.3769464202113932,"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."}}