{"id":"W4205914074","doi":"10.1093/humrep/deab280","title":"Predictive models of pregnancy based on data from a preconception cohort study","year":2021,"lang":"en","type":"article","venue":"Human Reproduction","topic":"Ovarian function and disorders","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Precursory Research for Embryonic Science and Technology; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Advancing Translational Sciences; National Institute of General Medical Sciences; National Institutes of Health; National Science Foundation","keywords":"Pregnancy; Logistic regression; Fertility; Cohort; Infertility; Medicine; Cohort study; Receiver operating characteristic; Demography; Obstetrics; Psychology; Gynecology; Population; Environmental health; Biology; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01463593,0.0007181978,0.0009123338,0.001127406,0.0003319758,0.001287719,0.001390319,0.0006120933,0.001889348],"category_scores_gemma":[0.027729,0.0003911833,0.001643051,0.0008975297,0.0003308838,0.0007542036,0.0007492401,0.001942259,0.0005681826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007247418,"about_ca_system_score_gemma":0.001056061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01260874,"about_ca_topic_score_gemma":0.01106338,"domain_scores_codex":[0.9983761,0.001041304,0.00008941433,0.000277743,0.0001169068,0.00009851169],"domain_scores_gemma":[0.9802387,0.01568717,0.001301173,0.001146499,0.001207697,0.0004188709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001163443,0.0003850355,0.8065056,0.0001485979,0.00138247,0.000290745,0.0005469505,0.1351936,0.0003362116,0.001956064,0.004126812,0.04796437],"study_design_scores_gemma":[0.000145522,0.0003023198,0.1035028,0.0001457701,0.0004834226,0.0001484444,0.0002490368,0.8877007,0.0002265694,0.005651783,0.001400656,0.0000429101],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9466299,0.0008294118,0.04598228,0.001313901,0.00009680069,0.0002768259,0.003731673,0.0001825824,0.0009566093],"genre_scores_gemma":[0.9784049,0.0003975951,0.01589408,0.0001914634,0.00005453058,0.0002629723,0.0041152,0.00002210055,0.0006569623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01463593,"threshold_uncertainty_score":0.07740313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09433094285561597,"score_gpt":0.3201820730093806,"score_spread":0.2258511301537647,"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."}}