{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000397759,0.0002947187,0.0005536326,0.00104639,0.0001333497,0.0008017978,0.0002086138,0.0003150258,0.0006978575],"category_scores_gemma":[0.0008775021,0.0001500145,0.0001701757,0.0007529351,0.0004969424,0.0008185955,0.0004028796,0.000637238,0.0001954293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002309216,"about_ca_system_score_gemma":0.0002252389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007246196,"about_ca_topic_score_gemma":0.0009640097,"domain_scores_codex":[0.9999037,0.00003733994,0.000008792746,0.00002126186,0.00001740043,0.00001145282],"domain_scores_gemma":[0.99968,0.0001041054,0.00007570733,0.00004437669,0.00004881241,0.00004701438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001641352,0.0001336925,0.442973,0.0008940003,0.0002488817,0.001698677,0.0003791169,0.001891117,0.347789,0.002811457,0.001550759,0.197989],"study_design_scores_gemma":[0.00001936454,0.0007068902,0.9440957,0.0001247695,0.0002016594,0.004862692,0.0006609849,0.004702581,0.02527078,0.009731238,0.009559405,0.00006387618],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9411908,0.03157251,0.01711755,0.004257035,0.0001191441,0.00003567488,0.001774324,0.0002334811,0.003699423],"genre_scores_gemma":[0.9859542,0.008106831,0.004522466,0.0004002726,0.0001199956,0.00001195297,0.0003990053,0.000036545,0.0004487627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00104639,"threshold_uncertainty_score":0.002334535,"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."}}