{"id":"W3084027969","doi":"10.21037/acs-2020-rp-10","title":"Why and how you should learn to do the Ross Procedure in 2020","year":2021,"lang":"en","type":"article","venue":"Annals of Cardiothoracic Surgery","topic":"Aortic Disease and Treatment Approaches","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; University of Toronto","funders":"","keywords":"Medicine; Data science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005857199,0.0001519087,0.0005332503,0.00008119061,0.00003991192,0.00004475217,0.0000435656,0.00007870498,0.00002970008],"category_scores_gemma":[0.0006932786,0.0001048757,0.0002526405,0.0004697633,0.00007337335,0.00009094773,0.00005708826,0.000122281,0.00000436927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009230101,"about_ca_system_score_gemma":0.0002036869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001470612,"about_ca_topic_score_gemma":0.000008968599,"domain_scores_codex":[0.9987808,0.0001123045,0.0001898444,0.0003024606,0.0003314002,0.0002832093],"domain_scores_gemma":[0.9989865,0.000266862,0.00005700684,0.0003539983,0.0001509698,0.0001846067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005373704,0.0003089787,0.7574769,0.0003956947,0.0007923497,0.001277182,0.0008467719,0.0000228304,0.0003206204,0.00005843022,0.1322825,0.1056803],"study_design_scores_gemma":[0.0006704911,0.0001559737,0.8359895,0.0009627351,0.0006434206,0.0002880267,0.004231067,0.00004906802,0.02946313,0.0002926501,0.12676,0.0004939041],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9206495,0.01941386,0.00001925203,0.05802824,0.00006911627,0.0002603149,0.00001453658,0.00002125472,0.001523944],"genre_scores_gemma":[0.9936132,0.001265127,0.00004880854,0.004036136,0.0001521119,0.00004610403,0.00002216951,0.00002193634,0.0007943964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1051864,"threshold_uncertainty_score":0.4276709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09927311600305809,"score_gpt":0.3517658426478417,"score_spread":0.2524927266447836,"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."}}