{"id":"W4411745744","doi":"10.1093/humrep/deaf097.1000","title":"P-694 Is Body Mass index (BMI)<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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004810364,0.0002239056,0.0006745594,0.0008064604,0.0003824769,0.001145602,0.001235449,0.0006595688,0.00611832],"category_scores_gemma":[0.01587337,0.0001636965,0.0009564634,0.001306853,0.0004502675,0.0008364968,0.0005686404,0.001179075,0.0007091576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004755802,"about_ca_system_score_gemma":0.001137545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0034418,"about_ca_topic_score_gemma":0.004689047,"domain_scores_codex":[0.9985464,0.0007490696,0.0002004984,0.0001898735,0.000196585,0.0001177224],"domain_scores_gemma":[0.9913046,0.004628696,0.002247989,0.0003875011,0.0009702757,0.0004608306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001495177,0.0000485718,0.9472352,0.001017585,0.000677516,0.000286507,0.0003019249,0.0001989226,0.0002804256,0.0008696932,0.01306464,0.03452371],"study_design_scores_gemma":[0.0003740659,0.000605603,0.9660621,0.003083475,0.001884913,0.001385213,0.002262079,0.004085581,0.0005757399,0.003590296,0.0160367,0.00005419747],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9136539,0.02959828,0.009821743,0.02015588,0.001377028,0.0005672548,0.01555269,0.00006287744,0.009210347],"genre_scores_gemma":[0.9893209,0.002216508,0.003223327,0.00169439,0.0004357343,0.0004092096,0.002117709,0.00002143637,0.0005608126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00611832,"threshold_uncertainty_score":0.02543992,"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."}}