{"id":"W4409259105","doi":"10.1016/j.modpat.2025.100767","title":"Spatially Resolved Single-Cell Morphometry of Benign Breast Disease Biopsy Images Uncovers Quantitative Cytomorphometric Features Predictive of Subsequent Invasive Breast Cancer Risk","year":2025,"lang":"en","type":"article","venue":"Modern Pathology","topic":"AI in cancer detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"U.S. Department of Health and Human Services; National Cancer Institute; National Institutes of Health; Division of Cancer Epidemiology and Genetics, National Cancer Institute; Kaiser Permanente; Breast Cancer Research Foundation","keywords":"Breast cancer; Medicine; Biopsy; Pathology; Disease; Cancer; Internal medicine","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":[0.0004078345,0.0001232297,0.0002064932,0.001026365,0.0001629516,0.0004983748,0.0001418357,0.0002322488,0.0004849755],"category_scores_gemma":[0.001251199,0.0001673362,0.0001489083,0.0006424197,0.0002058668,0.0002333235,0.000271435,0.0001479798,0.0001364515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002428521,"about_ca_system_score_gemma":0.0001217069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00322603,"about_ca_topic_score_gemma":0.00593443,"domain_scores_codex":[0.999759,0.00005145522,0.00001780755,0.00007449983,0.00006923964,0.00002797023],"domain_scores_gemma":[0.9992854,0.0001827156,0.0002969791,0.00008693059,0.0001019523,0.00004600113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002157172,0.00002348482,0.9663558,0.0000238877,0.00004947556,0.0000787628,0.00008090267,0.0004443964,0.02333032,0.00004460543,0.0001032956,0.009249267],"study_design_scores_gemma":[0.00000198029,0.00002891977,0.9947228,0.00000330126,0.00001800776,0.0003130083,0.0001215331,0.002365092,0.002235509,0.00005039019,0.0001356683,0.000003784768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981554,0.000258729,0.001139349,0.00001455035,0.000002045466,0.000005136242,0.0002060872,0.00001747871,0.0002011644],"genre_scores_gemma":[0.9987441,0.00008795461,0.0008666483,0.000007512685,0.000002849732,0.000003717613,0.0002143825,0.000002210141,0.00007050979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00322603,"threshold_uncertainty_score":0.006414533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01252787792664753,"score_gpt":0.2462412282863282,"score_spread":0.2337133503596807,"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."}}