{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000293498,0.0002443145,0.0003937699,0.00008579018,0.0004314252,0.0002102123,0.000142314,0.0001062189,0.000002655222],"category_scores_gemma":[0.00002553962,0.0002127189,0.00003678509,0.0001312102,0.00002946584,0.00005379572,0.0002381248,0.000279905,0.00001345819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004095717,"about_ca_system_score_gemma":0.0005955561,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0138037,"about_ca_topic_score_gemma":0.0003718604,"domain_scores_codex":[0.9981341,0.0001771721,0.0005605093,0.0004863066,0.0002426374,0.0003993031],"domain_scores_gemma":[0.9989538,0.00003420782,0.000385233,0.0003519184,0.0001025292,0.0001723225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006142193,0.0000706928,0.1667149,0.03106916,0.001698836,0.00002121121,0.05954738,0.005673953,0.0005187071,0.000224105,0.007368491,0.7264783],"study_design_scores_gemma":[0.002466897,0.001545474,0.08230682,0.01104724,0.000198842,0.0004783989,0.1106662,0.07332615,0.00008432905,0.000001750432,0.7166378,0.001240119],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7919656,0.1852394,0.003862296,0.005994906,0.003543823,0.002751816,0.005690562,0.0006795395,0.0002720418],"genre_scores_gemma":[0.9928316,0.002168222,0.00007157774,0.0001841221,0.000500667,0.0001173628,0.004050603,0.00003401697,0.00004177005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7252383,"threshold_uncertainty_score":0.9927635,"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."}}