{"id":"W109623613","doi":"","title":"Technology as a force for improved diagnosis and treatment of breast disease.","year":2010,"lang":"en","type":"article","venue":"PubMed","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Breast cancer; Life expectancy; Disease; Population; Cancer; Modalities; Breast cancer awareness; Oncology; Public health; Breast cancer screening; Ductal carcinoma; Incidence (geometry); Internal medicine; Gynecology; Mammography; Intensive care medicine; Pathology; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00002454402,0.0001173341,0.0001366866,0.00003714059,0.00004586047,0.000005445223,0.00005836891,0.00007830699,0.000002167086],"category_scores_gemma":[0.00005468293,0.00009520017,0.00006152898,0.00004397324,0.0001302519,0.000001848472,0.0000443785,0.00001717812,3.189882e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001162408,"about_ca_system_score_gemma":0.00002201023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003260854,"about_ca_topic_score_gemma":0.0001134468,"domain_scores_codex":[0.9994256,0.000004345584,0.00009179439,0.0002464878,0.00002713334,0.0002046365],"domain_scores_gemma":[0.9995815,0.00001620394,0.00004994922,0.0002203192,0.00005106837,0.00008100926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006162011,0.0004255167,0.1763814,0.00002519047,0.000367689,0.000001149718,0.00002500197,3.058971e-7,0.01979871,0.0003976184,0.0002128719,0.8017484],"study_design_scores_gemma":[0.002839639,0.0003012784,0.8498763,0.000003528442,0.0002000428,0.00002661739,0.0000377895,0.000007095846,0.1155416,0.001017206,0.02994931,0.0001995053],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943994,0.001305798,0.00003135911,0.002761711,0.000106593,0.0009802476,0.0002957745,0.00001580548,0.0001033094],"genre_scores_gemma":[0.9882123,0.0004602795,0.0002282746,0.00004570893,0.0001121643,0.01061726,0.00004547984,0.00001441428,0.0002640923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8015488,"threshold_uncertainty_score":0.388215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007648188176914954,"score_gpt":0.2263768057848962,"score_spread":0.2187286176079813,"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."}}