{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001044603,0.0002008788,0.0004090911,0.000178582,0.0003969446,0.00003955951,0.0001091557,0.0001224112,0.00004068144],"category_scores_gemma":[0.0002524101,0.0001818372,0.00009308167,0.0001945351,0.0003123077,0.0001166501,0.00008000572,0.0003292617,0.00001314958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000774143,"about_ca_system_score_gemma":0.00002839486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003433065,"about_ca_topic_score_gemma":0.0000187707,"domain_scores_codex":[0.9978395,0.0001495078,0.000394232,0.001244831,0.0001133947,0.0002585527],"domain_scores_gemma":[0.998476,0.0000360841,0.0001176451,0.001057881,0.0002488945,0.00006349737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01104684,0.001310598,0.4948724,0.001776347,0.0006714218,0.0000249449,0.005448036,0.00003389499,0.2872575,0.01692661,0.03950061,0.1411308],"study_design_scores_gemma":[0.001499624,0.0002749081,0.8099781,0.0001745964,0.0001464019,0.00004563982,0.0005637627,0.00002848578,0.01954125,0.005745142,0.1617826,0.0002195094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760588,0.005902607,0.001660631,0.006527848,0.00108502,0.001168307,0.000003613801,0.0001986589,0.007394554],"genre_scores_gemma":[0.990374,0.0003237907,0.0004021744,0.0000827324,0.001070825,0.00004961952,0.00004279094,0.00002284506,0.007631237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3151057,"threshold_uncertainty_score":0.7415106,"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."}}