{"id":"W3115193616","doi":"10.1016/j.athoracsur.2020.12.013","title":"Dynamic Annular Modeling of the Unrepaired Complete Atrioventricular Canal Annulus","year":2020,"lang":"en","type":"article","venue":"The Annals of Thoracic Surgery","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"National Institute of Biomedical Imaging and Bioengineering; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Medicine; Atrioventricular canal; Annulus (botany); Cardiology; Heart disease; Composite material","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":[0.0002273057,0.0004347589,0.0004478833,0.0003664667,0.0002725818,0.001305362,0.0009313546,0.001464458,0.002519147],"category_scores_gemma":[0.00126633,0.0003357505,0.0004885894,0.0002627772,0.0004258148,0.0006374381,0.0005746512,0.0003606604,0.0004455863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002842213,"about_ca_system_score_gemma":0.0005171155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005671062,"about_ca_topic_score_gemma":0.002598544,"domain_scores_codex":[0.9998778,0.00002665805,0.000008489797,0.00003307343,0.00003330995,0.00002074648],"domain_scores_gemma":[0.9997038,0.0001319635,0.00005009234,0.00003359399,0.00005252015,0.00002795887],"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":[0.00005154261,0.00003446929,0.00129024,0.00003473765,0.00001587781,0.0003948053,0.0001071899,0.9839337,0.004058562,0.003986636,0.0003842723,0.005708022],"study_design_scores_gemma":[0.000004974007,0.00001815457,0.0004162313,0.000006810407,0.000005287477,0.0001002071,0.00002147119,0.9981954,0.0002866306,0.0004430989,0.0004954148,0.000006345952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5330185,0.001571084,0.4145491,0.0007415729,0.000392848,0.0001009847,0.0007819199,0.0009395521,0.04790446],"genre_scores_gemma":[0.9860597,0.0002640478,0.008740469,0.000046627,0.00004070662,0.00002097776,0.00009712906,0.00007186917,0.004658477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005671062,"threshold_uncertainty_score":0.01127607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1157102018300414,"score_gpt":0.3902313018495169,"score_spread":0.2745211000194755,"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."}}