{"id":"W2471224563","doi":"10.1016/j.celrep.2016.06.051","title":"Molecular Features of Subtype-Specific Progression from Ductal Carcinoma In Situ to Invasive Breast Cancer","year":2016,"lang":"en","type":"article","venue":"Cell Reports","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Natural Sciences and Engineering Research Council of Canada; Oslo universitetssykehus HF; Canadian Institutes of Health Research; Kreftforeningen; Faculty of Medicine, McGill University; McGill University; U.S. Department of Defense","keywords":"Breast cancer; Biology; Tumor progression; Ductal carcinoma; Cancer; Disease; Cancer research; Carcinoma in situ; In situ; Pathology; Oncology; Medicine; Genetics","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":[0.00005657518,0.0001258028,0.0001497889,0.00004290993,0.00001560221,0.000009490922,0.00008970539,0.0001060806,0.00003049634],"category_scores_gemma":[0.00004061534,0.00009745693,0.00006149335,0.00006812058,0.00004125113,0.000002442816,0.0001247506,0.00003949405,0.000002394985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004024122,"about_ca_system_score_gemma":0.0001876342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002966634,"about_ca_topic_score_gemma":0.0005105377,"domain_scores_codex":[0.9990516,0.00001665536,0.0002405005,0.0003938276,0.0001166924,0.0001807411],"domain_scores_gemma":[0.9992629,0.00001644658,0.0001476891,0.0003975821,0.00007813976,0.00009721098],"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":[0.00009410625,0.00005225289,0.0755119,0.000009201365,0.000008439272,0.0003748455,0.000047229,0.00002747716,0.9182796,0.000008133932,0.002333655,0.003253195],"study_design_scores_gemma":[0.0002338483,0.00006243176,0.1640328,0.00005511153,0.000006961427,0.00004460839,0.00001521089,1.030389e-7,0.8322111,0.00007763586,0.003134099,0.0001260873],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942694,0.003874317,0.00004872423,0.000257993,0.0002898395,0.0002076471,0.0000780646,0.000003550452,0.0009704272],"genre_scores_gemma":[0.9988003,0.0005579003,0.0001673644,0.00009098887,0.0001719386,0.00003229626,0.00004907701,0.00002149143,0.0001086364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08852094,"threshold_uncertainty_score":0.3974178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005892116249575298,"score_gpt":0.2272251101692724,"score_spread":0.221332993919697,"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."}}