{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001581126,0.0003462102,0.0003731708,0.0007926312,0.0001676678,0.001045098,0.0005123356,0.0004878034,0.007449268],"category_scores_gemma":[0.007502985,0.0001389271,0.0009889308,0.0006808586,0.000192439,0.0006112966,0.0003383189,0.0007299908,0.0008941691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003585783,"about_ca_system_score_gemma":0.0006095643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003346642,"about_ca_topic_score_gemma":0.002448557,"domain_scores_codex":[0.9996098,0.0001602888,0.00004906903,0.00006858819,0.00007204287,0.00004016203],"domain_scores_gemma":[0.9961652,0.002204133,0.0007212504,0.0001177956,0.0005001309,0.0002914678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007074609,0.0001842945,0.9740776,0.0000918025,0.0002838537,0.00007684385,0.00003356166,0.003988522,0.0001570699,0.00009550029,0.00203112,0.01827233],"study_design_scores_gemma":[0.0002054925,0.002184244,0.8031546,0.0002364938,0.0005989667,0.0004164071,0.0005798551,0.1863536,0.001152689,0.00173392,0.003339748,0.00004400881],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855622,0.0006551289,0.004295322,0.001713789,0.0001993436,0.00009927284,0.004986994,0.00007323781,0.002414685],"genre_scores_gemma":[0.9939231,0.0001886487,0.00200663,0.0001231397,0.00007873728,0.00004928785,0.002580373,0.000008628103,0.001041362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007449268,"threshold_uncertainty_score":0.02492028,"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."}}