{"id":"W2970862661","doi":"10.1093/jncics/pkz063","title":"PTHrP, A Biomarker for CNS Metastasis in Triple-Negative Breast Cancer and Selection for Adjuvant Chemotherapy in Node-Negative Disease","year":2019,"lang":"en","type":"article","venue":"JNCI Cancer Spectrum","topic":"Bone health and treatments","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Alberta; McGill University Health Centre","funders":"Fondation de l'Hôpital Général de Montréal; Jewish General Hospital; University of Chittagong; Alberta Cancer Foundation; McGill University Health Centre; American Association for Cancer Research; McGill University; U.S. Department of Defense","keywords":"Medicine; Breast cancer; Oncology; Triple-negative breast cancer; Internal medicine; Hazard ratio; Proportional hazards model; Biomarker; Trastuzumab; Cancer; Metastasis; Univariate analysis; Confidence interval; Multivariate analysis; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001567489,0.000252842,0.0005553223,0.0002427482,0.00006093935,0.00001442465,0.0000424298,0.00008458839,0.0002310858],"category_scores_gemma":[0.0000392648,0.0002106216,0.0001066383,0.000438716,0.00004442712,0.0001427294,0.00001163235,0.0001358814,0.000003767767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009988743,"about_ca_system_score_gemma":0.0007135439,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01660569,"about_ca_topic_score_gemma":0.02584896,"domain_scores_codex":[0.9984378,0.00003203549,0.0003235916,0.000517955,0.0001621771,0.0005264134],"domain_scores_gemma":[0.9992661,0.0001325642,0.0001428016,0.0001349591,0.00007599946,0.0002475124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02448242,0.0006111447,0.9182784,0.0006812257,0.0003946999,0.000008625908,0.001029542,0.00001890552,0.0003711691,0.0001430107,0.001126254,0.05285462],"study_design_scores_gemma":[0.0260792,0.0003915663,0.9634688,0.0003413953,0.0001657877,0.000007905958,0.0001234815,0.004995564,0.002102779,0.001180899,0.0009166124,0.0002260282],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713547,0.00164916,0.0001258124,0.01982102,0.0003256445,0.005310303,0.001264247,0.0000349403,0.0001141614],"genre_scores_gemma":[0.9929544,0.0009502182,0.0006450724,0.00139469,0.000105364,0.002810745,0.00002867694,0.000051353,0.001059455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05262859,"threshold_uncertainty_score":0.9919267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02144070652744342,"score_gpt":0.3376281370407004,"score_spread":0.316187430513257,"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."}}