{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00196245,0.0006888906,0.0007816565,0.000619776,0.0001952881,0.0007948197,0.0007225262,0.0003757671,0.002969412],"category_scores_gemma":[0.004836444,0.0002664652,0.0007525489,0.0004282411,0.0001811047,0.0004343015,0.0005956696,0.0007551875,0.0007450865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008419922,"about_ca_system_score_gemma":0.001105608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0103242,"about_ca_topic_score_gemma":0.008171573,"domain_scores_codex":[0.9996526,0.000138709,0.00001851165,0.00007250618,0.00007528427,0.00004239202],"domain_scores_gemma":[0.9987205,0.0008863467,0.0001107998,0.00007371915,0.0001617588,0.00004683435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002467967,0.000225814,0.1693603,0.0002229214,0.0008530699,0.0003094963,0.00007801067,0.6673461,0.002363481,0.00148828,0.007490967,0.1477935],"study_design_scores_gemma":[0.0001550982,0.0003826364,0.01561718,0.00003538166,0.0002537478,0.0002425998,0.00001497528,0.976594,0.0009396533,0.002207995,0.003526056,0.00003078782],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.720749,0.003160957,0.2552557,0.003885089,0.000419245,0.0004157662,0.008357911,0.001868428,0.005888019],"genre_scores_gemma":[0.9657044,0.0004989155,0.02794539,0.0001835096,0.00009756081,0.0001929528,0.002717388,0.00007494192,0.002584945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0103242,"threshold_uncertainty_score":0.02052826,"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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