{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002973682,0.0001254002,0.0002143759,0.0008644632,0.0001991083,0.0003947581,0.0001862933,0.00015197,0.001188055],"category_scores_gemma":[0.0005278272,0.000105489,0.0002229606,0.0003725539,0.0001590714,0.0001351561,0.0001783448,0.0003404499,0.0003435152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001598613,"about_ca_system_score_gemma":0.0002180767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007109139,"about_ca_topic_score_gemma":0.001218869,"domain_scores_codex":[0.9998709,0.00002230175,0.0000174133,0.00002688479,0.00003634844,0.000026134],"domain_scores_gemma":[0.9995183,0.00007634814,0.0001536636,0.000058476,0.0001148404,0.00007828977],"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":[0.000665031,0.00007326662,0.4576395,0.0001026929,0.00007737028,0.0004624071,0.0003001342,0.0003293598,0.5223696,0.0003200725,0.0001884803,0.01747205],"study_design_scores_gemma":[0.000008635103,0.0003085852,0.9527216,0.000008609431,0.00006567289,0.002119696,0.0002673283,0.0006459515,0.0420537,0.0002675755,0.001520324,0.0000123846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996765,0.0004281598,0.0008777234,0.00002457444,0.000003848084,0.00002194357,0.0005608198,0.00002846746,0.001289473],"genre_scores_gemma":[0.9968851,0.0003609956,0.001025964,0.00001718927,0.000006525718,0.00002164865,0.0008963614,0.0000122138,0.0007739681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001188055,"threshold_uncertainty_score":0.003974497,"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."}}