{"id":"W4391785306","doi":"10.1002/lrh2.10409","title":"Breast cancer learning health system: Patient information from a data and analytics platform characterizes care provided","year":2024,"lang":"en","type":"article","venue":"Learning Health Systems","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Population Health Research Institute; Pediatric Oncology Group; Hamilton Health Sciences; University of Toronto; McMaster University; Ontario Institute for Cancer Research","funders":"Roche Canada","keywords":"Breast cancer; Health care; Data science; Analytics; Computer science; Medicine; Cancer; Internal medicine","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":[0.003269421,0.0002991708,0.0003906996,0.003598504,0.000383091,0.002172809,0.000438924,0.000556665,0.003344079],"category_scores_gemma":[0.01617908,0.0001509754,0.0003302148,0.006257075,0.0002640082,0.001792116,0.001683881,0.0004948091,0.001131815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001459755,"about_ca_system_score_gemma":0.002625232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005355394,"about_ca_topic_score_gemma":0.006991023,"domain_scores_codex":[0.9967206,0.001089132,0.0005884468,0.0006449854,0.0007593682,0.0001974773],"domain_scores_gemma":[0.9882912,0.004554451,0.003329315,0.0009159085,0.002171337,0.0007378425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002923751,0.0002811674,0.852448,0.0005950075,0.0001752285,0.0001415979,0.0009480811,0.002243554,0.001058421,0.002372181,0.02373911,0.1157053],"study_design_scores_gemma":[0.00009598561,0.0004464156,0.8883148,0.0005302338,0.0001670117,0.0003900501,0.002473951,0.02200258,0.003608868,0.006644945,0.07521443,0.0001107655],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7498507,0.001426387,0.01794482,0.01512024,0.0001656432,0.001000489,0.1845603,0.00129921,0.02863222],"genre_scores_gemma":[0.8954159,0.0005142305,0.02882666,0.001017653,0.0001572457,0.0004808933,0.07185858,0.00006451178,0.001664322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005355394,"threshold_uncertainty_score":0.01729053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01840584264021343,"score_gpt":0.2917168601969757,"score_spread":0.2733110175567622,"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."}}