{"id":"W7151682656","doi":"","title":"Stentless aortic valves: short - term and long - term postoperative outcomes","year":2017,"lang":"lt","type":"dissertation","venue":"Lithuanian University of Health Sciences","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Term (time); Context (archaeology); Statistical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0004793488,0.0004387383,0.001269547,0.000334742,0.002395954,0.00013031,0.0004811844,0.0001912148,0.0001422707],"category_scores_gemma":[0.00005295176,0.0004006815,0.000754222,0.0001791975,0.00128172,0.0004336764,0.0001030357,0.0002355756,0.00002090048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001962546,"about_ca_system_score_gemma":0.00200329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004542584,"about_ca_topic_score_gemma":0.001011278,"domain_scores_codex":[0.9971204,0.0001707718,0.00044778,0.0008855366,0.0007609159,0.0006145764],"domain_scores_gemma":[0.9979339,0.0001033817,0.0006732912,0.0005086936,0.0002193304,0.0005613641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001285812,0.0002672169,0.9626027,0.0009890513,0.0007292465,0.00007695392,0.007954426,5.648749e-7,0.00001255976,0.000102999,0.00003694475,0.0270987],"study_design_scores_gemma":[0.001189005,0.0009232548,0.9716101,0.001792379,0.001222971,0.00000734525,0.02288446,0.00001367005,0.000008522082,0.00001257858,0.00004121345,0.0002944874],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889608,0.005199567,0.000006135958,0.0008556994,0.0007859443,0.001081775,0.0003441267,0.00002331434,0.002742664],"genre_scores_gemma":[0.989556,0.002924163,0.00008547622,0.0001351465,0.00003464616,0.000001002458,0.0003639535,0.00001676338,0.006882919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02680421,"threshold_uncertainty_score":0.9998445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03080347950896785,"score_gpt":0.3720101545805478,"score_spread":0.34120667507158,"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."}}