{"id":"W4381619999","doi":"10.1093/humrep/dead093.457","title":"P-093 Single sperm morphokinetic variables during ICSI at the time of sperm aspiration into the microneedle","year":2023,"lang":"en","type":"article","venue":"Human Reproduction","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research & Development Corporation","funders":"","keywords":"Sperm; Sperm motility; Motility; Andrology; Sperm Retrieval; Biology; Selection (genetic algorithm); Male infertility; Computer science; Artificial intelligence; Medicine; Infertility; Genetics","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":[0.0003298887,0.0001431153,0.0003281222,0.0002672396,0.0001768768,0.0004019862,0.0001418614,0.0002032395,0.003661864],"category_scores_gemma":[0.0008150247,0.00007977557,0.0002569827,0.0001967521,0.0001714932,0.0001633341,0.000184521,0.000349661,0.0003988356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002451609,"about_ca_system_score_gemma":0.0002863928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001468216,"about_ca_topic_score_gemma":0.001118371,"domain_scores_codex":[0.9998599,0.00002376966,0.00001641578,0.00004239595,0.00003593537,0.00002150974],"domain_scores_gemma":[0.9996487,0.0001222195,0.00008971266,0.00001914873,0.00006474702,0.00005545987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01255683,0.0005033157,0.8408548,0.0004117405,0.0002008694,0.001439848,0.0004920495,0.0007963481,0.05467883,0.0002980246,0.001570147,0.0861972],"study_design_scores_gemma":[0.00005193145,0.002782748,0.9812489,0.00004162396,0.0001222877,0.0005516459,0.0002792496,0.001423785,0.01200331,0.00009001739,0.001388512,0.00001603458],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959509,0.0005735822,0.001095242,0.00004731255,0.00002817214,0.00007545139,0.001365018,0.00002354501,0.0008407691],"genre_scores_gemma":[0.997655,0.0001434629,0.0006487281,0.00003206869,0.00001048295,0.00007054341,0.0007065653,0.000006217285,0.0007268862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003661864,"threshold_uncertainty_score":0.01225019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02969724969550251,"score_gpt":0.2672556292410194,"score_spread":0.2375583795455168,"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."}}