{"id":"W2973146650","doi":"10.1111/jce.14150","title":"Relationship between time‐to‐isolation and freeze duration: Computational modeling of dosing for Arctic Front Advance and Arctic Front Advance Pro cryoballoons","year":2019,"lang":"en","type":"article","venue":"Journal of Cardiovascular Electrophysiology","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Medtronic (Canada)","funders":"National Heart, Lung, and Blood Institute","keywords":"Pulmonary vein; Medicine; Cryoablation; Ablation; Balloon; Cardiology; Internal medicine; Biomedical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002294767,0.0004549836,0.0004316398,0.0002659505,0.0004056391,0.0008100955,0.0005903249,0.0009322775,0.000980055],"category_scores_gemma":[0.0008649395,0.0003301757,0.0006613822,0.0001870353,0.0004862475,0.0003377292,0.0003017857,0.0005014,0.0001202499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008705818,"about_ca_system_score_gemma":0.001064522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01744729,"about_ca_topic_score_gemma":0.009147285,"domain_scores_codex":[0.9999181,0.0000164845,0.000003781097,0.00001931093,0.0000179206,0.00002444923],"domain_scores_gemma":[0.9996293,0.0002411521,0.00005068212,0.00001381469,0.00003890806,0.00002613903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000058618,0.00003817687,0.002093176,0.00001352773,0.000008954263,0.00003776438,0.00002059507,0.9945114,0.001955089,0.0002119583,0.00007540386,0.0009754341],"study_design_scores_gemma":[0.000005257798,0.00002505343,0.0003891044,0.000001731236,0.000004098556,0.00000719096,0.00001009756,0.9988905,0.0005440594,0.00005945445,0.00006024501,0.000003268018],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726997,0.0001590426,0.02232816,0.0001847402,0.00002322815,0.00005091079,0.0002831437,0.00008497072,0.004186107],"genre_scores_gemma":[0.9946789,0.00007785388,0.004139482,0.0000333855,0.000004619727,0.00005180591,0.0001179164,0.00001982528,0.000876213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01744729,"threshold_uncertainty_score":0.03469145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02561016828346038,"score_gpt":0.2847349325359498,"score_spread":0.2591247642524894,"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."}}