{"id":"W4289766408","doi":"10.1016/j.ejca.2022.06.011","title":"Incorporating progesterone receptor expression into the PREDICT breast prognostic model","year":2022,"lang":"en","type":"article","venue":"European Journal of Cancer","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"Servicio Gallego de Salud; Institute of Biomedical Sciences, Academia Sinica; National Medical Research Council; Cancer Council Tasmania; Cancer Council Victoria; Medical Research Council; Canadian Institutes of Health Research; Programme Grants for Applied Research; Manchester Biomedical Research Centre; U.S. Army; Imperial Experimental Cancer Medicine Centre; National Institutes of Health; National University Health System; Ministero dello Sviluppo Economico; National Health and Medical Research Council; Oulun Yliopisto; Deutsche Krebshilfe; Norges Forskningsråd; Stockholms Läns Landsting; Karolinska Institutet; Centers for Disease Control and Prevention; Leids Universitair Medisch Centrum; National Research Foundation of Korea; Korea Health Industry Development Institute; Ministry of Education, Science and Technology; Bundesministerium für Bildung und Forschung; Ministry of Education, Culture, Sports, Science and Technology; Ministerio de Economía y Competitividad; Academy of Finland; National Breast Cancer Foundation; Ministry of Health, Labour and Welfare; Wellcome Trust; Memorial Sloan-Kettering Cancer Center; Fondation du cancer du sein du Québec; Mark Foundation For Cancer Research; Cancer Australia; Huntsman Cancer Institute; KWF Kankerbestrijding; National University of Singapore; Cancer Research UK; Deutsches Krebsforschungszentrum; National Institute for Health and Care Research; National Research Foundation; National Research Foundation Singapore; Breast Cancer Research Foundation; University of Cambridge; Huntsman Cancer Foundation; Cancer Council NSW; Susan G. Komen for the Cure; Taiwan Biobank; Kreftforeningen; Academia Sinica; HORIZON EUROPE Framework Programme; Associazione Italiana per la Ricerca sul Cancro; Ministère du Développement Économique, de l’Innovation et de l’Exportation; Lon V. Smith Foundation; Agency for Science, Technology and Research; Kerry Group Kuok Foundation; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research; Breast Cancer Campaign; University of Utah; Cancer Council South Australia; Fonds Wetenschappelijk Onderzoek; National University Cancer Institute, Singapore; Cancerfonden; National Cancer Institute; Cancer Institute NSW; Intermountain Healthcare; Japan Agency for Medical Research and Development; Medical Research and Materiel Command; Ministry of Health -Singapore; European Commission; U.S. Department of Health and Human Services","keywords":"Progesterone receptor; Oestrogen receptor; Expression (computer science); Oncology; Internal medicine; Medicine; Biology; Breast cancer; Computer science; Estrogen receptor; Cancer","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":[],"consensus_categories":[],"category_scores_codex":[0.0004720431,0.0001228099,0.0001204778,0.00002607795,0.0002983026,0.00002064509,0.0003000554,0.00001009971,0.00003412025],"category_scores_gemma":[0.00003319255,0.00008069424,0.00007562759,0.00007441291,0.00007185929,0.000007523508,0.000330913,0.0001860569,0.000001859454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006430884,"about_ca_system_score_gemma":0.0001440746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005515183,"about_ca_topic_score_gemma":0.000006003836,"domain_scores_codex":[0.9988261,0.0003175901,0.0002734703,0.0001546749,0.000293853,0.0001342833],"domain_scores_gemma":[0.999236,0.00001100198,0.0003845429,0.0001704791,0.0001421257,0.00005586749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002470289,0.0005124419,0.1108451,0.00006418803,0.0008466868,0.0001050196,0.006561652,0.05946045,0.6149977,0.00004124545,0.05401111,0.1500841],"study_design_scores_gemma":[0.02423169,0.009718147,0.2633574,0.001784539,0.001603396,0.002986602,0.01517108,0.003694383,0.1956874,0.0006055757,0.4780292,0.00313054],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854769,0.007866062,0.001261407,0.003684902,0.0005899903,0.0002146228,0.00006989441,0.00001105694,0.0008252184],"genre_scores_gemma":[0.9975927,0.0001462384,0.001033049,0.000227543,0.000670584,0.00003575017,0.0000118186,0.00003402296,0.000248264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4240181,"threshold_uncertainty_score":0.3290616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020848552657825,"score_gpt":0.2424627483648437,"score_spread":0.2322542628382655,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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