{"id":"W4411745744","doi":"10.1093/humrep/deaf097.1000","title":"P-694 Is Body Mass index (BMI)&amp;lt;18.5 kg/m² the Best Cut-Off for IVF Success? Reevaluating the lower BMI Threshold","year":2025,"lang":"en","type":"article","venue":"Human Reproduction","topic":"Ovarian function and disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Body mass index; Medicine; Animal science; Gynecology; Endocrinology; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001630398,0.0002447578,0.00027118,0.0001634895,0.0009959039,0.000129416,0.0002161744,0.0001492765,0.001115312],"category_scores_gemma":[0.0007692857,0.0001578816,0.0002103047,0.0005120065,0.0002210298,0.0001421878,0.00006914266,0.0004315964,0.0001192268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001064995,"about_ca_system_score_gemma":0.0001402208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009280587,"about_ca_topic_score_gemma":0.0001074171,"domain_scores_codex":[0.9977541,0.00009465371,0.0004867419,0.0008575514,0.0004649137,0.0003420667],"domain_scores_gemma":[0.9975557,0.00009182909,0.0002135299,0.001682112,0.0003989862,0.00005781581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001855922,0.001276573,0.08378963,0.0004850005,0.0008419745,0.000005997155,0.00146957,0.0004962551,0.02181122,0.01511759,0.8373954,0.03545491],"study_design_scores_gemma":[0.004024089,0.0005802032,0.04303586,0.0002637749,0.0009694856,0.00004336982,0.003245591,0.001448449,0.003121799,0.01319832,0.9296262,0.0004428275],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7693527,0.002665923,0.005036624,0.08245696,0.007934459,0.005057451,0.00001500284,0.0004778293,0.127003],"genre_scores_gemma":[0.9121662,0.00006757823,0.0001353257,0.002849618,0.001750279,0.0002324107,0.00006275328,0.0000439894,0.08269183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1428135,"threshold_uncertainty_score":0.9997978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0650050032601884,"score_gpt":0.3554758069693878,"score_spread":0.2904708037091994,"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."}}