{"id":"W4386526126","doi":"10.3390/genes14091768","title":"Predicting Patterns of Distant Metastasis in Breast Cancer Patients following Local Regional Therapy Using Machine Learning","year":2023,"lang":"en","type":"article","venue":"Genes","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; York University; University of Toronto; Sunnybrook Health Science Centre","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Terry Fox Research Institute","keywords":"Medicine; Anthracycline; Bone metastasis; Oncology; Internal medicine; Breast cancer; Brain metastasis; Metastasis; Odds ratio; Multivariate analysis; Estrogen receptor; Cancer; Chemotherapy","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":[0.0006109224,0.000149432,0.0002057391,0.000474509,0.0001019498,0.0002735432,0.000156849,0.0001755058,0.0004583164],"category_scores_gemma":[0.002716892,0.00008299648,0.0002115844,0.0003985277,0.000104137,0.0001613578,0.0001946728,0.0002543079,0.0001590423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001587051,"about_ca_system_score_gemma":0.000153257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001347387,"about_ca_topic_score_gemma":0.003089,"domain_scores_codex":[0.9997808,0.0001027466,0.00001934038,0.00003756532,0.00003522188,0.0000242833],"domain_scores_gemma":[0.9989907,0.0004974535,0.0003327809,0.00005824515,0.0000629823,0.00005788511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001256214,0.00002967129,0.9880921,0.00001252703,0.00003472653,0.00005773314,0.00001936985,0.002057998,0.0004380604,0.00002834129,0.0001096044,0.008994316],"study_design_scores_gemma":[0.00001283616,0.000304539,0.9704236,0.0000127287,0.00006582339,0.0005760345,0.0001068244,0.02673253,0.0009710526,0.0003158977,0.000469244,0.000008958475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981932,0.0003393264,0.001041192,0.00005353342,0.000002791594,0.000006078248,0.0001532215,0.00001047019,0.0002001282],"genre_scores_gemma":[0.9992854,0.00007260753,0.0003735828,0.000009101038,0.000003249522,0.000003087867,0.0001768425,0.000001334209,0.00007481803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001347387,"threshold_uncertainty_score":0.00323087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0216102140976687,"score_gpt":0.280373529287209,"score_spread":0.2587633151895403,"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."}}