{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005408179,0.000185099,0.0005783571,0.000190258,0.00009047494,0.000003531358,0.0001339113,0.00006808932,0.0000280216],"category_scores_gemma":[0.0007418928,0.0001335169,0.00004375716,0.0005512025,0.0006251263,0.00004748156,0.0001360143,0.0003611913,2.136871e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004275457,"about_ca_system_score_gemma":0.0001320607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004050886,"about_ca_topic_score_gemma":0.00001030043,"domain_scores_codex":[0.9979851,0.0001174043,0.0005510282,0.0006211075,0.0005115345,0.0002138822],"domain_scores_gemma":[0.9985476,0.0001445486,0.000323844,0.0005718615,0.000278631,0.0001335504],"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":[0.006920823,0.002401768,0.007262188,0.0002501392,0.0001750774,0.0001460889,0.001080855,0.009767831,0.9348617,0.0004285836,0.00007292249,0.03663207],"study_design_scores_gemma":[0.005145651,0.03793648,0.5118307,0.0008138216,0.001383823,0.003154865,0.01154067,0.1701911,0.252239,0.004634279,0.00008762795,0.001042097],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98585,0.001225719,0.01141005,0.0006430505,0.00008243085,0.0004967906,0.0001934288,0.00004847962,0.00004999189],"genre_scores_gemma":[0.9828475,0.00004695405,0.01651636,0.0000828227,0.0001790851,0.00001639678,0.0002252726,0.00001984645,0.00006572634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6826227,"threshold_uncertainty_score":0.544466,"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."}}