{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006215152,0.0001791784,0.0004743793,0.000763994,0.0001279182,0.00006304359,0.0002349204,0.0001911798,0.00001593507],"category_scores_gemma":[0.0007214339,0.0001402847,0.0001407008,0.001083662,0.0001904247,0.00001925491,0.00007348623,0.0003668898,3.136124e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001897576,"about_ca_system_score_gemma":0.0006602002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002603568,"about_ca_topic_score_gemma":0.001030633,"domain_scores_codex":[0.9976493,0.0002664021,0.0005193591,0.000344648,0.0005735807,0.0006467464],"domain_scores_gemma":[0.9983153,0.00006796796,0.0003182194,0.0001514599,0.0009440382,0.0002030392],"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":[0.003006738,0.0001143297,0.01482191,0.0001058179,0.0008383302,0.00000331254,0.00008877863,0.00005385711,0.9779825,0.000004754277,0.0001406842,0.002838993],"study_design_scores_gemma":[0.002678342,0.0008632838,0.0423572,0.0001364895,0.0001792149,0.00002207218,0.0002821086,0.00004051761,0.948184,0.00004021129,0.004999082,0.0002175025],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904121,0.001988673,0.004985002,0.0002699974,0.0001756821,0.002065571,0.00004985917,0.000003408503,0.0000497517],"genre_scores_gemma":[0.9802265,0.0003134569,0.01608066,0.00002217366,0.002151312,0.0005505563,0.00002519377,0.0000461946,0.0005840076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02979852,"threshold_uncertainty_score":0.5720643,"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."}}