{"id":"W4416974110","doi":"10.1016/j.fertnstert.2025.07.1192","title":"BEYOND SUBJECTIVE GRADING: AI-POWERED TOOLS FOR MORE PRECISE BLASTOCYST EVALUATIONS","year":2025,"lang":"en","type":"article","venue":"Fertility and Sterility","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"CReATe Fertility Centre; University of Toronto","funders":"","keywords":"Infertility; Fertility; Human fertility; Blastocyst; Human reproduction; Reproductive medicine","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":[0.005156521,0.001030092,0.0008040837,0.002452003,0.0005890389,0.003559558,0.001815946,0.001334597,0.01415253],"category_scores_gemma":[0.02341255,0.0005081996,0.0004958906,0.00117452,0.001299528,0.003166996,0.002351561,0.001323669,0.004636045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006286001,"about_ca_system_score_gemma":0.000762783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007329108,"about_ca_topic_score_gemma":0.001312361,"domain_scores_codex":[0.9965253,0.001087171,0.0002430771,0.0003391099,0.001706015,0.00009922946],"domain_scores_gemma":[0.9821824,0.008330789,0.00161064,0.002860385,0.004464114,0.0005516548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005087739,0.0002258195,0.004118589,0.001131715,0.00009414805,0.0001951872,0.0008457566,0.0126765,0.1559567,0.02176113,0.01142861,0.7910571],"study_design_scores_gemma":[0.0001992291,0.001302686,0.02243166,0.001217833,0.0002367987,0.001704446,0.001299758,0.4666749,0.2530756,0.1364588,0.1147579,0.000640407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01200009,0.0004302803,0.9735439,0.0003260029,0.0002203247,0.00024093,0.0002426007,0.003386347,0.009609623],"genre_scores_gemma":[0.2110057,0.0006610312,0.7741868,0.0004959881,0.0001597296,0.0004904137,0.0005609958,0.001402871,0.01103645],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01415253,"threshold_uncertainty_score":0.04734492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02920411036038369,"score_gpt":0.3120908567290684,"score_spread":0.2828867463686847,"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."}}