{"id":"W4414019033","doi":"10.1093/biolre/ioaf204","title":"Imaging transzonal projections in the cumulus–oocyte complexes: challenges and solutions","year":2025,"lang":"en","type":"article","venue":"Biology of Reproduction","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Quebec Network for Research on Aging; Université Laval; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; The Quebec Population Health Research Network","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Confocal; Biology; Oocyte; Fixation (population genetics); Zona pellucida; Image quality; Biological system; Optics; Materials science; Biophysics; Cell biology; Computer science; Artificial intelligence; Physics; Image (mathematics); Embryo","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":[0.0009968792,0.00007968428,0.0001893435,0.0001512348,0.0001146256,0.000001618276,0.00005171054,0.00007455439,0.000005138382],"category_scores_gemma":[0.0003165676,0.00005466931,0.0000440543,0.0001752476,0.0006348493,0.00004373341,0.00001971608,0.0001802908,9.895134e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002322396,"about_ca_system_score_gemma":0.00005397918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007382779,"about_ca_topic_score_gemma":0.00004046589,"domain_scores_codex":[0.9989406,0.0002057607,0.0002119324,0.0004695895,0.00003443252,0.0001376855],"domain_scores_gemma":[0.9994029,0.00005831437,0.00004796592,0.000390904,0.00008844554,0.00001140153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004372479,0.00132718,0.2162819,0.0004314418,0.0002640152,0.000004496314,0.005455969,0.000005290934,0.1465051,0.04539812,0.0007115568,0.5792425],"study_design_scores_gemma":[0.0004254745,0.0001244589,0.9691693,0.00003065999,0.00004096872,0.0001112453,0.001186695,0.0000266587,0.003365539,0.006195204,0.01927684,0.00004694816],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8869733,0.06603234,0.0006703232,0.04147152,0.0004512299,0.0006697945,0.000005180393,0.00004349108,0.003682804],"genre_scores_gemma":[0.996945,0.002445584,0.0002539848,0.00006384657,0.0001274483,0.00004308809,0.00001406964,0.000002412853,0.0001045129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7528874,"threshold_uncertainty_score":0.2339129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07029007797995875,"score_gpt":0.3380708814729207,"score_spread":0.267780803492962,"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."}}