{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002443345,0.0001054544,0.0002239864,0.00008000188,0.00007192366,0.00001111982,0.00006984912,0.0000550666,0.0008542542],"category_scores_gemma":[0.0002044039,0.0001042451,0.00004326441,0.0001800969,0.00004082959,0.0001608322,0.00004338914,0.0001316659,0.00001928156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004629238,"about_ca_system_score_gemma":0.00009814901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000114343,"about_ca_topic_score_gemma":0.00004387731,"domain_scores_codex":[0.998293,0.000110664,0.0002756584,0.000899686,0.0003304829,0.00009047938],"domain_scores_gemma":[0.9976841,0.00001750836,0.0001237025,0.001906416,0.0002227631,0.0000454889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002708733,0.01672507,0.9045113,0.0002418072,0.001002628,0.00005881577,0.003477166,0.01987972,0.01748414,0.0004254981,0.01118087,0.02230424],"study_design_scores_gemma":[0.004700585,0.001576715,0.9498112,0.0003639739,0.0006088903,0.000007456211,0.002230936,0.03493843,0.003941284,0.001228658,0.0004057705,0.0001861658],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734194,0.0002741022,0.007606039,0.0003259983,0.000652239,0.001484196,0.00006402111,0.0001481596,0.01602585],"genre_scores_gemma":[0.996222,0.00001310114,0.0002735043,0.00005728814,0.0002654811,0.00004648628,0.001240963,0.00001736841,0.001863832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04529982,"threshold_uncertainty_score":0.9353484,"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."}}