{"id":"W2092939290","doi":"10.3390/genes5030536","title":"From Genotype to Functional Phenotype: Unraveling the Metabolomic Features of Colorectal Cancer","year":2014,"lang":"en","type":"article","venue":"Genes","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Colorectal cancer; Metabolomics; Phenotype; Epigenetics; Biology; Genotype; Computational biology; Genotype-phenotype distinction; Genetics; Disease; Bioinformatics; Cancer; Gene; Cancer research; Medicine; Internal medicine","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":[0.0001192195,0.0001134997,0.0001479739,0.00001826297,0.00007396282,0.00001194168,0.0001643251,0.00008337673,0.00008260685],"category_scores_gemma":[0.00004769445,0.00008228554,0.000081979,0.00007107325,0.00005046452,0.000001763872,0.00008006112,0.00005286493,0.00001115216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006031214,"about_ca_system_score_gemma":0.00008551972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006897728,"about_ca_topic_score_gemma":0.0007002645,"domain_scores_codex":[0.9993102,0.00004561256,0.0001267623,0.0002403816,0.0001186079,0.0001584189],"domain_scores_gemma":[0.9995587,0.00001879632,0.00005820742,0.0002170489,0.00009535982,0.00005187296],"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":[0.00018787,0.00001037591,0.0002473051,0.000003582231,0.00008480538,2.80304e-8,0.00009710091,0.0008368968,0.9529235,0.0001123182,0.00792794,0.03756831],"study_design_scores_gemma":[0.0002427144,0.00003876374,0.04675143,0.00000334343,0.00005851984,0.000001039748,0.00004720799,0.00002034393,0.5644609,0.0001172086,0.3881527,0.0001058665],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685051,0.02661556,0.001591446,0.0002652838,0.002479715,0.0001239644,0.00008927048,0.000007775494,0.0003218151],"genre_scores_gemma":[0.9907087,0.001226051,0.001010637,0.0006794534,0.005545422,0.0000433862,0.00008090652,0.0000206805,0.0006847642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3884625,"threshold_uncertainty_score":0.3355507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009233390406645397,"score_gpt":0.2394422462301221,"score_spread":0.2302088558234767,"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."}}