{"id":"W3196253914","doi":"10.1093/humrep/deab130.015","title":"P–016 Using artificial intelligence to predict semen upgrading after microsurgical varicocele repair","year":2021,"lang":"en","type":"article","venue":"Human Reproduction","topic":"Sperm and Testicular Function","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Varicocele; Semen; Intracytoplasmic sperm injection; Artificial insemination; Assisted reproductive technology; Medicine; Infertility; Nomogram; Male infertility; Sperm; Gynecology; Andrology; Biology; Internal medicine; Pregnancy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000357272,0.0001285364,0.0001919369,0.0001190236,0.000169033,0.00004007939,0.00002901953,0.00007974436,0.0005878557],"category_scores_gemma":[0.000349907,0.0001296964,0.0001235299,0.0004217801,0.00004120844,0.00009671427,0.00004952661,0.0001656983,0.0000817966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001564849,"about_ca_system_score_gemma":0.00006481362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003689168,"about_ca_topic_score_gemma":0.000009819881,"domain_scores_codex":[0.9984064,0.00005142797,0.0003265735,0.000746367,0.0002466595,0.0002226319],"domain_scores_gemma":[0.9990047,0.00001335645,0.00005229369,0.0005785584,0.0002338047,0.000117342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005969168,0.001054018,0.03543816,0.0002402309,0.0001987472,0.0008746586,0.0008687759,0.0006394397,0.9283743,0.005776694,0.001063921,0.02487414],"study_design_scores_gemma":[0.0004493743,0.001109806,0.1195883,0.0006094401,0.0008854084,0.004949397,0.000914182,0.004620623,0.8318053,0.009937652,0.02429247,0.000838016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843274,0.0002436492,0.01303957,0.0004447591,0.0008455458,0.0002778911,0.000001491208,0.0002528381,0.0005668124],"genre_scores_gemma":[0.9907494,0.000006467786,0.00597582,0.0001461492,0.002128225,0.00002306496,0.00003251554,0.00002600235,0.0009123756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09656894,"threshold_uncertainty_score":0.6436607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05711422220307719,"score_gpt":0.3119317941688307,"score_spread":0.2548175719657535,"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."}}