{"id":"W2903281976","doi":"10.1186/s13058-018-1073-0","title":"Risk prediction for estrogen receptor-specific breast cancers in two large prospective cohorts","year":2018,"lang":"en","type":"article","venue":"Breast Cancer Research","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"School of Public Health, Imperial College London; Instituto de Salud Carlos III; World Cancer Research Fund; Medical Research Council; School of Medicine, New York University; National Institutes of Health; Hellenic Health Foundation; Mutuelle Générale de l'Education Nationale; National Heart, Lung, and Blood Institute; Rijksinstituut voor Volksgezondheid en Milieu; Aalborg Universitetshospital; Samfundet Folkhälsan; Universidad de Murcia; Consiglio Nazionale delle Ricerche; NordForsk; Vetenskapsrådet; Deutsches Krebsforschungszentrum; Ligue Contre le Cancer; Bundesministerium für Bildung und Forschung; Universidad de Granada; National and Kapodistrian University of Athens; Karolinska Institutet; Women's Health Initiative; Institut National de la Santé et de la Recherche Médicale; Cancerfonden; Institut Gustave-Roussy; University of Oxford; Imperial College London; Aarhus Universitet; Svenska Forskningsrådet Formas; Kræftens Bekæmpelse; York University; Fundación Canaria de Investigación y Salud; Associazione Italiana per la Ricerca sul Cancro; Aalborg Universitet; Umeå Universitet; European Commission; Cancer Research UK; World Health Organization; FP7 People: Marie-Curie Actions; Universitetet i Tromsø; Universiti Malaya; Centre International de Recherche sur le Cancer; U.S. Department of Health and Human Services","keywords":"Surgical oncology; Breast cancer; Medicine; Oncology; Estrogen receptor; Internal medicine; Estrogen; Prospective cohort study; Oestrogen receptor; Bioinformatics; Gynecology; Cancer; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001335655,0.0002426212,0.0004339626,0.0004251585,0.000380062,0.00006292585,0.0001908489,0.0001234852,0.001705284],"category_scores_gemma":[0.00004862872,0.0002166802,0.0001363344,0.001072912,0.00041572,0.000187031,0.00009381141,0.00072907,0.00007685321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00363419,"about_ca_system_score_gemma":0.001230354,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02790276,"about_ca_topic_score_gemma":0.009203956,"domain_scores_codex":[0.9966432,0.000137083,0.000389087,0.0008158949,0.0008981876,0.001116527],"domain_scores_gemma":[0.9978471,0.00009426301,0.0001033173,0.0004939845,0.001102119,0.0003591515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005910095,0.000220752,0.9232599,0.00006755561,0.0001415571,0.000009221071,0.0008998623,0.0000135692,0.0019464,0.0003983192,0.02526235,0.04187039],"study_design_scores_gemma":[0.006947645,0.0005231272,0.9285201,0.000382072,0.00004319753,0.0001241542,0.0006484464,0.0005224583,0.001762897,0.0002445625,0.06004054,0.0002408034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836029,0.001432749,0.0002356971,0.001328568,0.0008429262,0.003458355,0.007235648,0.0001133132,0.001749829],"genre_scores_gemma":[0.9926494,0.001430719,0.0001292109,0.00005314445,0.003260802,0.001648367,0.00009762841,0.00007898863,0.0006516785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04162958,"threshold_uncertainty_score":0.9992073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03933302576139876,"score_gpt":0.4045869510452897,"score_spread":0.3652539252838909,"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."}}