{"id":"W2626203030","doi":"10.1186/s12859-017-1718-5","title":"Biomarker correlation network in colorectal carcinoma by tumor anatomic location","year":2017,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health; Uehara Memorial Foundation; Gary Bennett Family Fund; Mochida Memorial Foundation for Medical and Pharmaceutical Research; Dana-Farber/Harvard Cancer Center; National Institute of Diabetes and Digestive and Kidney Diseases; Entertainment Industry Foundation","keywords":"Biomarker; DNA microarray; Colorectal cancer; Correlation; Oncology; Carcinoma; Medicine; Computational biology; Biology; Pathology; Internal medicine; Cancer; Gene; Genetics; Gene expression; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002887812,0.0001647844,0.0002455417,0.00009094742,0.0001692843,0.0000709165,0.0001839247,0.0001380196,0.00006547574],"category_scores_gemma":[0.0003199965,0.000152583,0.00005222117,0.0001645159,0.0001333683,0.0002267153,0.00008065646,0.0001755855,0.0001096483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002836203,"about_ca_system_score_gemma":0.0002713701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009273178,"about_ca_topic_score_gemma":0.0002349749,"domain_scores_codex":[0.9988095,0.00002150183,0.0004626837,0.0001390081,0.0002600473,0.0003072197],"domain_scores_gemma":[0.9989605,0.00006568267,0.0003289571,0.0004353921,0.0001033711,0.0001060754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002984239,0.00004327491,0.9811566,0.00019762,0.00001385621,0.000003766763,0.000321425,0.0007354855,0.0002297154,0.00004444541,0.01252885,0.004426571],"study_design_scores_gemma":[0.001069265,0.0001112954,0.5892251,0.00007787938,0.00002271668,0.00002702944,0.00009337378,0.4081043,0.0005581589,0.00004326921,0.0005472287,0.0001203677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830368,0.0002188251,0.007989206,0.00009862416,0.0007657055,0.0006998347,0.00001245276,0.00004400795,0.007134501],"genre_scores_gemma":[0.9844915,0.00001175687,0.01496859,0.0001649494,0.00007895145,0.00003396379,0.00008212509,0.00001891929,0.0001492486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4073688,"threshold_uncertainty_score":0.6222156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02191543732902508,"score_gpt":0.2761201421532842,"score_spread":0.2542047048242591,"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."}}