{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002533623,0.0002900409,0.0007029697,0.0002075814,0.001030074,0.0000318532,0.0001833459,0.00009371771,0.0004785826],"category_scores_gemma":[0.0007214907,0.0002322532,0.0002755782,0.0006211716,0.001043236,0.0001854235,0.0003766803,0.0006692954,0.000004103748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001422029,"about_ca_system_score_gemma":0.0001173813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001946931,"about_ca_topic_score_gemma":0.00002417882,"domain_scores_codex":[0.9955205,0.0008452702,0.0007291638,0.002096548,0.0005146498,0.0002939239],"domain_scores_gemma":[0.9969197,0.00009908052,0.0005837688,0.001813311,0.0004990402,0.00008509416],"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":[0.00344429,0.0003700118,0.04085168,0.00004239581,0.001070563,0.00001397943,0.0009573007,0.000142446,0.9471942,0.00000698037,0.005404846,0.0005013476],"study_design_scores_gemma":[0.0005686706,0.0002506684,0.548108,0.00001014748,0.0008585568,0.00003791539,0.0006652869,0.00002088694,0.4485237,0.0006158711,0.0001834505,0.0001568002],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917625,0.002327648,0.0005735752,0.003638299,0.0004834409,0.0007986237,0.0002450047,0.00006061394,0.0001103298],"genre_scores_gemma":[0.9966387,0.00003583813,0.0005031954,0.0002634472,0.0006273516,0.0000781291,0.0008516659,0.00002531554,0.0009763539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5072564,"threshold_uncertainty_score":0.9471011,"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."}}