{"id":"W3016231570","doi":"10.21037/jovs.2020.02.05","title":"Aortic valve sparing surgery—patient selection and techniques","year":2021,"lang":"en","type":"article","venue":"Journal of Visualized Surgery","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute; Université de Montréal","funders":"","keywords":"Selection (genetic algorithm); Medicine; Surgery; Computer science; Artificial intelligence","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":[0.0003741738,0.0001298646,0.0006682129,0.0002690399,0.00005770753,0.00003846847,0.00001205349,0.00006080004,0.00008683332],"category_scores_gemma":[0.000507183,0.0001086346,0.001663949,0.0002611668,0.00001900803,0.0001221921,0.00002263646,0.0001294129,0.000002413612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001000706,"about_ca_system_score_gemma":0.0003855831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001410745,"about_ca_topic_score_gemma":5.635268e-7,"domain_scores_codex":[0.9986403,0.0001109108,0.0005741689,0.0001390909,0.0003494913,0.0001860528],"domain_scores_gemma":[0.9985016,0.0004287924,0.0003393058,0.00009881698,0.00040843,0.0002230559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003819196,0.0004714344,0.9325909,0.0001189984,0.001342013,0.0003495904,0.00005766108,6.887104e-7,0.003665359,0.00000861005,0.003267853,0.05774495],"study_design_scores_gemma":[0.0008185066,0.0002533558,0.890129,0.001364857,0.002445716,0.003005517,0.000249508,0.00003267177,0.09583262,0.0001526946,0.005423958,0.0002915765],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952375,0.003922482,0.0001080111,0.0001333539,0.0003479896,0.00007680367,0.000002695734,0.00002659076,0.0001446065],"genre_scores_gemma":[0.9969866,0.002153742,0.0003528567,0.000226593,0.0002035118,0.000004729785,0.000009817128,0.00002214284,0.00004004034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09216726,"threshold_uncertainty_score":0.442999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02565730771006842,"score_gpt":0.3818080565302047,"score_spread":0.3561507488201363,"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."}}