{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007050474,0.0002968122,0.0005874892,0.001343973,0.0004286324,0.00147119,0.0009136294,0.0004282597,0.01354476],"category_scores_gemma":[0.03185365,0.0002431619,0.0008206684,0.001697843,0.0005993522,0.0008202892,0.001203014,0.0005385217,0.002625813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004353215,"about_ca_system_score_gemma":0.001028602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002042957,"about_ca_topic_score_gemma":0.003036604,"domain_scores_codex":[0.9949568,0.001754195,0.001153784,0.0006879869,0.001271418,0.0001759036],"domain_scores_gemma":[0.973317,0.01348148,0.005914059,0.00253689,0.004382123,0.0003683813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001266552,0.00006995942,0.7807949,0.003221325,0.0004506608,0.0008913656,0.0005752138,0.0006555769,0.001848083,0.0009417827,0.03135644,0.1779281],"study_design_scores_gemma":[0.0001869233,0.0005470021,0.9020267,0.002810195,0.0005321081,0.006115503,0.001304116,0.004927495,0.003821166,0.002572253,0.07509775,0.00005879072],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8052274,0.0324456,0.04834777,0.005152668,0.001051525,0.002270253,0.06291611,0.0007884612,0.04180029],"genre_scores_gemma":[0.9582837,0.003829286,0.01727165,0.001012018,0.0003445145,0.00145433,0.01381043,0.0002080121,0.003786044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01354476,"threshold_uncertainty_score":0.04531175,"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."}}