{"id":"W2902802075","doi":"10.1080/01635581.2018.1540715","title":"Butyrate-Induced<i>In Vitro</i>Colonocyte Differentiation Network Model Identifies<i>ITGB1, SYK, CDKN2A, CHAF1A,</i>and<i>LRP1</i>as the Prognostic Markers for Colorectal Cancer Recurrence","year":2018,"lang":"en","type":"article","venue":"Nutrition and Cancer","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Indian Council of Medical Research","keywords":"Colorectal cancer; Butyrate; CDKN2A; Biology; Gene; Cancer research; Microarray; Adenomatous polyposis coli; Microarray analysis techniques; Cancer; Genetics; Gene expression","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":[0.0001147132,0.0004253514,0.0002196164,0.0003470909,0.0001683833,0.0002545961,0.0002797396,0.0001808723,0.001220176],"category_scores_gemma":[0.0002092842,0.0001314241,0.000561411,0.000318485,0.0001387976,0.0001560776,0.0002153,0.0002541295,0.0001774177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000539129,"about_ca_system_score_gemma":0.0003486229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009134959,"about_ca_topic_score_gemma":0.01005366,"domain_scores_codex":[0.9999423,0.00001362188,0.000002363018,0.00001971107,0.000008106219,0.00001391566],"domain_scores_gemma":[0.999925,0.00002506496,0.00001974557,0.000007908046,0.00001364224,0.00000865614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007220515,0.0001728656,0.02475815,0.0002538037,0.0002307013,0.0003353821,0.00008830408,0.813525,0.126937,0.005329927,0.001568408,0.02607842],"study_design_scores_gemma":[0.00001512589,0.0001052383,0.01313659,0.000008217155,0.00005912928,0.00007040579,0.0000282913,0.9738245,0.009113133,0.002306737,0.001323498,0.000009168106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8838618,0.0006831979,0.1061785,0.0002567779,0.00003499738,0.00007654556,0.004780527,0.0003237042,0.003803877],"genre_scores_gemma":[0.9727074,0.0005515909,0.01890389,0.00003753731,0.000006919766,0.0001310839,0.004623145,0.00001920957,0.003019163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009134959,"threshold_uncertainty_score":0.01816356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01319339910585341,"score_gpt":0.2653705562422883,"score_spread":0.2521771571364348,"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."}}