{"id":"W4381620339","doi":"10.1093/humrep/dead093.110","title":"O-091 The impact of endocrine disruptors on early pregnancy and clinical outcomes in IVF","year":2023,"lang":"en","type":"article","venue":"Human Reproduction","topic":"Birth, Development, and Health","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Endocrine system; Endocrinology; Fertility; Hormone; Biology; Internal medicine; Medicine; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005504635,0.00009106881,0.0002602432,0.0001369676,0.00007511318,0.000006301138,0.00003883586,0.00004153665,0.00002616692],"category_scores_gemma":[0.0003228025,0.00005426001,0.00008155817,0.0002144418,0.00008458528,0.00003629329,0.0000263195,0.0002276122,0.00001883502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004895188,"about_ca_system_score_gemma":0.00005489582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004502822,"about_ca_topic_score_gemma":0.00007566177,"domain_scores_codex":[0.9988858,0.00006540796,0.0003855373,0.00034045,0.0001509921,0.0001718263],"domain_scores_gemma":[0.9993175,0.00006107371,0.0001088083,0.0004197465,0.00003788567,0.00005495813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006887697,0.000161868,0.9880142,0.00005796031,0.00004133458,0.000008293744,0.0007799259,0.000001525852,0.0002025459,0.001612698,0.0004426592,0.008608148],"study_design_scores_gemma":[0.0007581834,0.0006946496,0.9958035,0.0001499725,0.00001466644,0.00001007339,0.00009368053,0.000003881003,0.0001769346,0.002196831,0.00004804006,0.00004963708],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971675,0.0001006062,4.663116e-7,0.001178522,0.0002486492,0.0004286738,0.000001602047,0.00005428386,0.0008196602],"genre_scores_gemma":[0.9941546,0.004845626,0.00001618729,0.00002790698,0.0002096049,0.00001356629,0.00001090236,0.00001272844,0.0007088913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008558511,"threshold_uncertainty_score":0.2212659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09295330807846618,"score_gpt":0.4335178305013303,"score_spread":0.3405645224228641,"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."}}