{"id":"W4407247922","doi":"10.1109/tbme.2025.3532886","title":"Automation and Control of Embryo Trophectoderm Cell Biopsy at the Blastocyst Stage","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Guelph; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Blastocyst; Embryo; Andrology; Automation; Biology; Gynecology; Embryogenesis; Cell biology; Medicine; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000177708,0.00010248,0.0001955286,0.0001210021,0.00007301595,0.000003039199,0.00004428551,0.0001160449,0.00006846958],"category_scores_gemma":[0.00002630729,0.00006871035,0.00006665449,0.000217595,0.0002122002,0.00002289885,0.000001313237,0.0002024736,0.000004536393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005598351,"about_ca_system_score_gemma":0.00003729746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001201163,"about_ca_topic_score_gemma":0.000001138581,"domain_scores_codex":[0.9993221,0.00002482784,0.0002096484,0.0002021618,0.0001135149,0.0001277624],"domain_scores_gemma":[0.9995222,0.0001364332,0.00002888908,0.0002151632,0.00003357438,0.00006370128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009496874,0.000241068,0.00007783734,0.0002714757,0.0001396414,0.000005218064,0.00009383268,0.001539454,0.9901633,0.00003445429,0.00003991869,0.006444143],"study_design_scores_gemma":[0.006067411,0.0007723386,0.1224388,0.000249527,0.0004208443,0.00007112314,0.0001208053,0.1320361,0.732195,0.00001935207,0.005343169,0.0002655918],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3894585,0.0001848178,0.6089512,0.0007253997,0.0002943658,0.0002171664,0.00002638231,0.00005273767,0.00008941094],"genre_scores_gemma":[0.9986709,0.00002986046,0.0002082974,0.00007173702,0.00002527155,0.00002757667,0.000003118128,0.000006418233,0.0009568181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6092124,"threshold_uncertainty_score":0.2801927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006015187546824707,"score_gpt":0.2306036245698552,"score_spread":0.2245884370230305,"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."}}