{"id":"W2968618875","doi":"10.1093/jncics/pkz050","title":"Toronto Workshop on Late Recurrence in Estrogen Receptor–Positive Breast Cancer: Part 1: Late Recurrence: Current Understanding, Clinical Considerations","year":2019,"lang":"en","type":"article","venue":"JNCI Cancer Spectrum","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Queen's University; Lunenfeld-Tanenbaum Research Institute; Health Sciences Centre; Juravinski Cancer Centre; Sinai Health System; Sunnybrook Health Science Centre; Princess Margaret Cancer Centre; Statistics Canada; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Context (archaeology); Breast cancer; Disease; Cancer; Cancer recurrence; Estrogen receptor; Intensive care medicine; Oncology; Gynecology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002401466,0.0004208093,0.0004859795,0.00004987811,0.0001659263,0.00005915037,0.0002107515,0.0002109766,0.0009300543],"category_scores_gemma":[0.00004480367,0.0004012543,0.0001897444,0.0001778051,0.0001815919,0.00002940262,0.0001510169,0.0003819275,0.00006938532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001297024,"about_ca_system_score_gemma":0.0005716574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001549828,"about_ca_topic_score_gemma":0.0151097,"domain_scores_codex":[0.9973174,0.0001766547,0.0005557495,0.001019282,0.0002906807,0.000640264],"domain_scores_gemma":[0.9988318,0.0001023576,0.0002719578,0.0005275118,0.00008876105,0.0001775869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002618397,0.001183926,0.8785187,0.0001025361,0.001100486,0.00002276791,0.001264504,0.00119606,0.0007225149,0.006422336,0.05459666,0.05225112],"study_design_scores_gemma":[0.01632755,0.002145547,0.8323761,0.006546204,0.0006159982,0.00006315066,0.001830533,0.0005244591,0.01301642,0.006393805,0.1153489,0.004811313],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9474609,0.02675431,0.00007857516,0.009740408,0.008686707,0.001341659,0.001932521,0.00007300305,0.003931867],"genre_scores_gemma":[0.9580958,0.03935914,0.00005338557,0.0004836991,0.001093761,0.0003078081,0.0001479618,0.00004496008,0.0004134438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06075221,"threshold_uncertainty_score":0.9999833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04370293973447589,"score_gpt":0.3506795823024933,"score_spread":0.3069766425680174,"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."}}