{"id":"W2123970632","doi":"10.1155/2000/965613","title":"Malignancy‐Associated Changes in Breast Tissue Detected by Image Cytometry","year":2000,"lang":"en","type":"article","venue":"Analytical Cellular Pathology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"KWF Kankerbestrijding","keywords":"Malignancy; Pathology; Breast cancer; Ductal carcinoma; Feulgen stain; Hyperplasia; Cytometry; Medicine; Carcinoma; Cancer; Atypical hyperplasia; Flow cytometry; Internal medicine; Staining; Immunology","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":[0.0005516825,0.0001889338,0.0001867865,0.001446612,0.0001397946,0.0002918819,0.0001450216,0.0002851789,0.001028375],"category_scores_gemma":[0.001230062,0.0001255641,0.0001124982,0.0004605146,0.0003031849,0.0002628203,0.0002219152,0.0002041379,0.0002686178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002054764,"about_ca_system_score_gemma":0.00009278371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003245701,"about_ca_topic_score_gemma":0.000380081,"domain_scores_codex":[0.9997264,0.0000602148,0.00002841342,0.00005762666,0.00009389149,0.00003354864],"domain_scores_gemma":[0.9994904,0.0001594125,0.0001618926,0.00004414533,0.0001059875,0.00003811464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004560761,0.00006062659,0.1344814,0.00007895412,0.0000409411,0.0002659036,0.0001936744,0.0002307628,0.846435,0.0001868883,0.00007570927,0.01749405],"study_design_scores_gemma":[0.00002768458,0.0004823791,0.6771733,0.00002516245,0.00008907184,0.004814028,0.0003027059,0.005427907,0.3093807,0.0004765297,0.001770828,0.0000296522],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929751,0.001006753,0.005209442,0.00002988585,0.000006852336,0.00001956576,0.00006520801,0.00004420475,0.0006429377],"genre_scores_gemma":[0.9940913,0.0003816831,0.005046132,0.00001904151,0.000007960122,0.00001914863,0.0001265108,0.000005169905,0.0003029802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001446612,"threshold_uncertainty_score":0.00344032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006180072758052516,"score_gpt":0.2662031254483104,"score_spread":0.2600230526902579,"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."}}