{"id":"W3008874191","doi":"10.1016/j.fertnstert.2020.01.004","title":"Predicting patency after vasovasostomy and heterogeneity in defining success","year":2020,"lang":"en","type":"letter","venue":"Fertility and Sterility","topic":"Male Reproductive Health Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Vasovasostomy; Medicine; Surgery; Population; Research methodology; Environmental health","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":[0.06900988,0.0003326671,0.001356877,0.002501387,0.001886152,0.00309743,0.001772257,0.01014899,0.002401565],"category_scores_gemma":[0.2055464,0.0005774436,0.001071977,0.002979695,0.003228058,0.002687163,0.002190398,0.007287901,0.0007142258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565068,"about_ca_system_score_gemma":0.004342186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02133396,"about_ca_topic_score_gemma":0.06304187,"domain_scores_codex":[0.9706209,0.02148124,0.003650951,0.0009288822,0.002221431,0.001096542],"domain_scores_gemma":[0.7140037,0.2516203,0.01227172,0.006017389,0.01003929,0.006047515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007923868,0.0001351715,0.8002129,0.0003837181,0.0005013593,0.001012549,0.001516965,0.0003101454,0.0001716743,0.004540223,0.1251546,0.06526836],"study_design_scores_gemma":[0.0009881204,0.0008970303,0.7434314,0.004305347,0.001628483,0.003495502,0.01063402,0.004858479,0.0006110538,0.05437887,0.1743343,0.0004373257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.08301818,0.01540123,0.0008823589,0.881895,0.006933915,0.00008114283,0.001104405,0.00002327226,0.01066049],"genre_scores_gemma":[0.5530235,0.006777581,0.003342219,0.39764,0.03425599,0.0003302586,0.0006230812,0.00005789526,0.00394945],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06900988,"threshold_uncertainty_score":0.3649635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08904985718597712,"score_gpt":0.3842182534058279,"score_spread":0.2951683962198508,"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."}}