{"id":"W4283714711","doi":"10.1093/humrep/deac104.119","title":"O-204 Non-invasive AI image analysis unlocks the secrets of oocyte quality and reproductive potential by assigning ‘Magenta’ scores from 2-dimensional (2-D) microscope images","year":2022,"lang":"en","type":"article","venue":"Human Reproduction","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"CReATe Fertility Centre; Translational Research in Oncology","funders":"","keywords":"Oocyte; Blastocyst; Reproductive medicine; Prospective cohort study; Magenta; Gynecology; Biology; Andrology; Medicine; Pregnancy; Pathology; Embryo; Computer science; Embryogenesis; Genetics","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":[0.001929391,0.0001450931,0.0002223366,0.0004120766,0.0001592048,0.0005626217,0.0002714914,0.0002347443,0.01451801],"category_scores_gemma":[0.002604235,0.0000939701,0.0002802951,0.0002555358,0.0003056142,0.0002985616,0.0002881174,0.0001753754,0.001183673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002392147,"about_ca_system_score_gemma":0.0003910705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007456121,"about_ca_topic_score_gemma":0.001521501,"domain_scores_codex":[0.9994394,0.0002699915,0.00005076624,0.00005950693,0.0001394767,0.00004074377],"domain_scores_gemma":[0.9979328,0.0009166444,0.0004430595,0.0001464215,0.0003982779,0.0001628539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01982411,0.003326287,0.5615575,0.001559762,0.0002934462,0.0016708,0.000867676,0.0006375102,0.05512827,0.001184082,0.01207819,0.3418725],"study_design_scores_gemma":[0.0009146134,0.02175316,0.9124208,0.0002511289,0.0003331149,0.004102867,0.001637953,0.003925193,0.03034741,0.0005711882,0.02368172,0.00006086773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772704,0.000869895,0.005463039,0.0003093166,0.00009223359,0.001182985,0.001055605,0.00007759784,0.01367892],"genre_scores_gemma":[0.9907888,0.000245799,0.004137777,0.0001375176,0.00007483459,0.0006535526,0.0003651652,0.00001512025,0.003581373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01451801,"threshold_uncertainty_score":0.04856753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02109756889132957,"score_gpt":0.3155538463552562,"score_spread":0.2944562774639267,"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."}}