{"id":"W4411748711","doi":"10.1093/humrep/deaf097.989","title":"P-683 Do we need Ethnicity-Specific BMI Cut-Offs for IVF success when comparing Asians and Europeans?","year":2025,"lang":"en","type":"article","venue":"Human Reproduction","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Ethnic group; Demography; Medicine; Gynecology; Sociology; Anthropology","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":[0.006060933,0.0003781644,0.001069877,0.001086976,0.0005343912,0.001448939,0.001341587,0.0009045316,0.01036528],"category_scores_gemma":[0.02843402,0.000239421,0.002457999,0.002168012,0.0007505582,0.001733391,0.000915438,0.001359213,0.001555905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000317928,"about_ca_system_score_gemma":0.0008829924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00277151,"about_ca_topic_score_gemma":0.003022583,"domain_scores_codex":[0.997093,0.00130485,0.0005404697,0.0004272858,0.0004136735,0.0002207986],"domain_scores_gemma":[0.9869916,0.005766706,0.004208313,0.0007493619,0.001466623,0.0008173774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001425964,0.00004749118,0.9633062,0.0007455077,0.001185248,0.0001775587,0.0004203756,0.0001371769,0.0002069856,0.0004608443,0.00453458,0.02735204],"study_design_scores_gemma":[0.0002657076,0.0005521115,0.9830161,0.001395406,0.001361571,0.0008350784,0.002141457,0.001040263,0.0003037773,0.002324254,0.006715123,0.00004912434],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9349448,0.01680535,0.00785898,0.01188754,0.002105543,0.0004163794,0.01144109,0.0001012831,0.01443896],"genre_scores_gemma":[0.9922159,0.0010947,0.001935671,0.0017141,0.0004097614,0.000307088,0.001670993,0.00004595638,0.0006058428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01036528,"threshold_uncertainty_score":0.0346753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07223278806989177,"score_gpt":0.3342615546786701,"score_spread":0.2620287666087784,"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."}}