{"id":"W4381619977","doi":"10.1093/humrep/dead093.632","title":"P-274 Clinical limitations of manual oocyte quality scoring by embryologists are overcome by an artificial intelligence (AI) oocyte image analysis tool","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":"CReATe Fertility Centre","funders":"","keywords":"Oocyte; Blastocyst; Human fertilization; Medicine; Andrology; Biology; Embryo; Embryogenesis; Anatomy; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004387752,0.0002273209,0.0007582556,0.0002797066,0.0002804181,0.00002617621,0.0001727227,0.0002431357,0.00008303252],"category_scores_gemma":[0.003788679,0.0002154801,0.0003396598,0.00115676,0.0007673082,0.0002848493,0.0000885856,0.0005065746,0.00007216287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009309701,"about_ca_system_score_gemma":0.00004952614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001813301,"about_ca_topic_score_gemma":0.0000869206,"domain_scores_codex":[0.9957022,0.0006750744,0.001351494,0.001612376,0.0003303855,0.0003284591],"domain_scores_gemma":[0.9969401,0.0001828001,0.0005349906,0.001726396,0.0005011936,0.0001145091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.009297969,0.002824397,0.3586449,0.0002401996,0.001486991,0.00002551669,0.001204485,0.0002215553,0.564864,0.0009111406,0.005681125,0.0545978],"study_design_scores_gemma":[0.0001538151,0.0004331949,0.9177305,0.00001483854,0.0004363371,0.000005906559,0.0007730752,0.0001550243,0.07728244,0.002247007,0.0005614469,0.000206466],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941595,0.0002059607,0.002982513,0.001180357,0.0005460698,0.0004581331,0.00007130465,0.0002570132,0.0001391366],"genre_scores_gemma":[0.9967253,0.0001598945,0.0002941098,0.00007351756,0.0006909127,0.00003698839,0.0007863061,0.00001932565,0.001213673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5590856,"threshold_uncertainty_score":0.8787022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2821818668914557,"score_gpt":0.4690537518507546,"score_spread":0.1868718849592989,"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."}}