{"id":"W4405851551","doi":"10.1177/30494826241296370","title":"Data Resource Profile: Heart Valve Society Aortic Valve Database (HVS AV Database)","year":2024,"lang":"en","type":"article","venue":"Journal of the Heart Valve Society","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Montreal Heart Institute","funders":"Edwards Lifesciences","keywords":"Cardiology; Internal medicine; Medicine; Aortic valve; Database; Computer science","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":[0.004823897,0.001026501,0.002006111,0.005134582,0.0003987073,0.004097473,0.002397929,0.001567494,0.1069098],"category_scores_gemma":[0.03474289,0.0006290048,0.0006391454,0.009499702,0.0003045131,0.002890065,0.002169075,0.001480049,0.06891657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008892277,"about_ca_system_score_gemma":0.003148776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002788479,"about_ca_topic_score_gemma":0.001468724,"domain_scores_codex":[0.9954346,0.0009987958,0.001762005,0.0007597776,0.000802751,0.0002420211],"domain_scores_gemma":[0.9795924,0.0086286,0.002873343,0.003465241,0.003454453,0.001986041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001004375,0.00009274823,0.007542943,0.002920572,0.0001468995,0.0001355027,0.0001577018,0.0009860949,0.0008281782,0.004494571,0.9434531,0.03823728],"study_design_scores_gemma":[0.001815178,0.0001438176,0.02147453,0.00125324,0.0001308397,0.0004696564,0.0001902712,0.004292772,0.001828125,0.006631301,0.9616175,0.0001527228],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009026926,0.0002436776,0.001888466,0.0004722611,0.00004981228,0.0003586159,0.9887857,0.002573898,0.004724782],"genre_scores_gemma":[0.00670347,0.0002926111,0.003587594,0.0003934747,0.00007884014,0.000974557,0.9862269,0.0006516062,0.001091046],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1069098,"threshold_uncertainty_score":0.357649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0407405622572681,"score_gpt":0.3709011744749989,"score_spread":0.3301606122177307,"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."}}