{"id":"W4289596339","doi":"10.1016/j.rbmo.2022.07.018","title":"An artificial intelligence model correlated with morphological and genetic features of blastocyst quality improves ranking of viable embryos","year":2022,"lang":"en","type":"article","venue":"Reproductive BioMedicine Online","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Wildlife Health Cooperative","keywords":"Artificial intelligence; Embryo quality; Blastocyst; Embryo; Pregnancy; Gynecology; Obstetrics; Biology; Medicine; Computer science; In vitro fertilisation; Genetics; Embryogenesis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004537652,0.0006205829,0.0004622597,0.0009465646,0.0002368118,0.001019671,0.0006239919,0.0008502663,0.001623591],"category_scores_gemma":[0.001738326,0.0001451839,0.000520483,0.000424407,0.0002715657,0.000460517,0.0002931816,0.000420075,0.0002464649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006316496,"about_ca_system_score_gemma":0.0005985173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005492412,"about_ca_topic_score_gemma":0.003533723,"domain_scores_codex":[0.9997707,0.00005000128,0.00001555091,0.00007676567,0.00004665759,0.00004048879],"domain_scores_gemma":[0.9993,0.0003842207,0.00007257543,0.00002840531,0.0001768998,0.00003792581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003331193,0.0002893285,0.01506061,0.00006583121,0.0001409026,0.0002117425,0.00004853312,0.9030885,0.005517815,0.001977728,0.001644375,0.07162161],"study_design_scores_gemma":[0.000005371302,0.00004634551,0.001121501,0.000004251251,0.00001709468,0.00001804325,0.000004723123,0.9977807,0.0004389427,0.0004658542,0.0000930606,0.000004038838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6071236,0.0006105599,0.3769084,0.001336185,0.0002278078,0.0001325209,0.0007016098,0.001168131,0.01179116],"genre_scores_gemma":[0.9807681,0.00009956942,0.01680426,0.0001434453,0.00003260031,0.0000588621,0.0003319098,0.00001509436,0.001746156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005492412,"threshold_uncertainty_score":0.01092088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03766897786892896,"score_gpt":0.3254085754841793,"score_spread":0.2877395976152504,"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."}}