{"id":"W2061204768","doi":"10.1158/0008-5472.sabcs12-es8-2","title":"Abstract ES8-2: Breast Cancer Stroma: A Predictor of Clinical Outcome and Tumour Heterogeneity","year":2012,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Breast cancer; Stroma; Stromal cell; Cancer; Tumor microenvironment; Oncology; Tumour heterogeneity; Biology; Genetic heterogeneity; Pathology; Medicine; Internal medicine; Phenotype; Gene; Cancer research; Immunohistochemistry; Genetics","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":[0.0004794304,0.0002166387,0.0002467612,0.0004669518,0.0001228452,0.0003923377,0.0001409001,0.0002478843,0.002536204],"category_scores_gemma":[0.001493662,0.00006897316,0.0001869527,0.0003565756,0.0001775857,0.0001397881,0.0002508879,0.0003445029,0.0003175197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001586394,"about_ca_system_score_gemma":0.000138356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004470281,"about_ca_topic_score_gemma":0.000481389,"domain_scores_codex":[0.9998493,0.00005625788,0.00001284443,0.00002757182,0.00003062138,0.00002337364],"domain_scores_gemma":[0.9986976,0.000568915,0.0003683354,0.00004843139,0.0001458074,0.0001707445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008486172,0.00004624463,0.9832911,0.0000212411,0.00006440147,0.0000997812,0.00001717654,0.001123011,0.009695844,0.00003961149,0.0003270651,0.004425825],"study_design_scores_gemma":[0.00003061454,0.0002783571,0.9838797,0.000009473293,0.00006931897,0.0006734596,0.00006709873,0.008514934,0.005555279,0.0002563681,0.000658861,0.000006549742],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986024,0.0001237801,0.0004800324,0.00005478489,0.000004539824,0.000004807298,0.0004227733,0.00001200755,0.0002948316],"genre_scores_gemma":[0.9989587,0.00002342755,0.0003128972,0.00001112323,0.000007144496,0.000006431073,0.0004631045,0.000002595347,0.000214619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002536204,"threshold_uncertainty_score":0.008484483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1165276737965864,"score_gpt":0.4648595827713864,"score_spread":0.3483319089748,"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."}}