{"id":"W2051609814","doi":"10.1021/pr060644r","title":"Proteome Analysis and Tissue Microarray for Profiling Protein Markers Associated with Lymph Node Metastasis in Colorectal Cancer","year":2007,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Colorectal cancer; Proteomics; Heat shock protein; Proteome; Immunohistochemistry; Annexin A2; Tissue microarray; Cancer research; Medicine; Biomarker; Lymph node; Microarray; Cancer; Pathology; Biology; Annexin; Gene expression; Internal medicine; Bioinformatics; Staining; Gene","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":[0.0002607265,0.0003103829,0.000318763,0.0006699814,0.000231699,0.0002342488,0.0001854997,0.0002564836,0.0009393665],"category_scores_gemma":[0.0002657109,0.0001303824,0.0002233261,0.0006243688,0.0001108437,0.0002281964,0.0001859812,0.0003024179,0.0005608043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001655009,"about_ca_system_score_gemma":0.0002153688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002875334,"about_ca_topic_score_gemma":0.0005444569,"domain_scores_codex":[0.9997886,0.00005156334,0.00001965035,0.00004966996,0.00006507379,0.00002550186],"domain_scores_gemma":[0.999909,0.00001960663,0.00002146031,0.00001068029,0.00002621771,0.00001300859],"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":[0.00009778581,0.00002467831,0.001389719,0.00006473358,0.00001038577,0.00003986557,0.00001165926,0.00004779892,0.9957688,0.00002322563,0.00005961961,0.002461731],"study_design_scores_gemma":[0.00002814553,0.001263022,0.1694775,0.00002193854,0.0001700195,0.002390458,0.0001677425,0.005498441,0.8121672,0.0001883437,0.008601842,0.00002530949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9620147,0.004846853,0.02759176,0.0002940067,0.00008300838,0.0002079845,0.002676597,0.0003218201,0.001963217],"genre_scores_gemma":[0.9062296,0.004420902,0.07862149,0.0002139124,0.00005567257,0.0005880238,0.006439384,0.00004067898,0.003390308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009393665,"threshold_uncertainty_score":0.003142476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02413764781466532,"score_gpt":0.3513837794388563,"score_spread":0.327246131624191,"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."}}