{"id":"W2085251527","doi":"10.1038/bjc.2015.24","title":"Infertility and incident endometrial cancer risk: a pooled analysis from the epidemiology of endometrial cancer consortium (E2C2)","year":2015,"lang":"en","type":"article","venue":"British Journal of Cancer","topic":"Gynecological conditions and treatments","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services","funders":"National Cancer Institute; Medical Research Council; Regione Piemonte; Cancerfonden; Alberta Innovates; National Health and Medical Research Council; Karolinska Institutet; U.S. Department of Health and Human Services; National Institutes of Health; Canada Research Chairs; Alberta Cancer Foundation; Vetenskapsrådet","keywords":"Infertility; Medicine; Endometrial cancer; Gynecology; Obstetrics; Odds ratio; Unexplained infertility; Female infertility; Cancer; Internal medicine; Pregnancy; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001581343,0.0001670162,0.001338787,0.0002751673,0.0000998633,0.00002113647,0.0001540963,0.000150726,0.001798109],"category_scores_gemma":[0.009632052,0.0001159542,0.0004449254,0.0009315776,0.0003151781,0.0001145371,0.00007049108,0.000460917,0.000001240661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003502806,"about_ca_system_score_gemma":0.0006727878,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08272319,"about_ca_topic_score_gemma":0.02513721,"domain_scores_codex":[0.9972597,0.0006414455,0.001133778,0.0002529582,0.0004288135,0.0002832773],"domain_scores_gemma":[0.9948119,0.002485254,0.001311796,0.0001853545,0.0008476748,0.0003580115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009697209,0.0001917193,0.9611847,0.000007475187,0.005472,0.0001158159,0.00007633733,0.0002175631,0.00004822095,0.000007125599,0.0006701222,0.03103917],"study_design_scores_gemma":[0.01182542,0.0004330381,0.976633,0.0001335905,0.008842872,0.00004264464,0.00008613841,0.00004972257,0.0001973822,0.0007123389,0.0009460914,0.00009773125],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8729116,0.1241204,0.0001233916,0.0007520753,0.0006814072,0.0002962031,0.00106075,0.000006249348,0.00004792171],"genre_scores_gemma":[0.9828352,0.01581688,0.0002395802,0.0004197438,0.0005399709,0.00007028219,0.00001814698,0.00001048719,0.00004971531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1099236,"threshold_uncertainty_score":0.9991144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06290100789887197,"score_gpt":0.3674113204230854,"score_spread":0.3045103125242134,"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."}}