{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003804174,0.000787071,0.0008610509,0.002775947,0.0009159104,0.003387877,0.0007678037,0.002235199,0.02987454],"category_scores_gemma":[0.006061669,0.0002152694,0.0006497112,0.00316407,0.002168208,0.003492494,0.001741745,0.003365353,0.008678147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002167186,"about_ca_system_score_gemma":0.00491382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002252237,"about_ca_topic_score_gemma":0.003783412,"domain_scores_codex":[0.9974475,0.0009967992,0.0002222027,0.0001763931,0.001035745,0.0001213101],"domain_scores_gemma":[0.9951454,0.001940449,0.0007846003,0.0002740751,0.001342108,0.0005134152],"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":[0.0001393428,0.00007718034,0.002365771,0.005728961,0.0001134505,0.0002514046,0.0002118428,0.0001525383,0.001173855,0.04553111,0.2859254,0.6583291],"study_design_scores_gemma":[0.00002494608,0.0001037428,0.002034744,0.002425635,0.00007240505,0.0006586504,0.0002002547,0.00006669019,0.0002469775,0.01087644,0.983274,0.00001540708],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.001469883,0.7989616,0.002692819,0.1069685,0.01639963,0.000141064,0.0005063391,0.0001599314,0.07270021],"genre_scores_gemma":[0.01581045,0.8970291,0.007836415,0.03281969,0.01342029,0.0002048444,0.0005519132,0.00007740982,0.03224981],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02987454,"threshold_uncertainty_score":0.0999403,"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."}}