{"id":"W2618022781","doi":"10.2147/hp.s127560","title":"Targeted metabolomics in colorectal cancer: a strategic approach using standardized laboratory tests of the blood and urine","year":2017,"lang":"en","type":"article","venue":"Hypoxia","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; McMaster University; University of Toronto; Sunnybrook Health Science Centre","funders":"Physicians' Services Incorporated Foundation","keywords":"Colorectal cancer; Urine; Metabolomics; Medicine; Oncology; Cancer; Internal medicine; Bioinformatics; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00108576,0.000473645,0.0005623667,0.001031065,0.0001700319,0.0005995004,0.0002942255,0.0002896194,0.0003776379],"category_scores_gemma":[0.001032674,0.0001586485,0.0002022684,0.0006159951,0.0003486533,0.0003254858,0.0006999963,0.0002668267,0.00008782752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003250194,"about_ca_system_score_gemma":0.0006659279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008825639,"about_ca_topic_score_gemma":0.002340117,"domain_scores_codex":[0.999562,0.0002273637,0.00003717974,0.00005679731,0.00008585394,0.00003079194],"domain_scores_gemma":[0.9996406,0.00007149792,0.0001138869,0.00003344348,0.00008783146,0.00005270428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002378155,0.000533538,0.4914286,0.00132234,0.0004525084,0.0007030622,0.0002820159,0.0022497,0.2768777,0.0005833634,0.001732347,0.2214567],"study_design_scores_gemma":[0.0002362818,0.006924846,0.8978903,0.0002134871,0.0004825181,0.003170785,0.001101591,0.009044696,0.07250063,0.001146179,0.007214627,0.00007399887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9363587,0.01480841,0.04425504,0.00101057,0.000101621,0.0006561551,0.0006220666,0.0003168438,0.001870659],"genre_scores_gemma":[0.9658104,0.003905538,0.02891857,0.0003549717,0.0001107695,0.0003301263,0.0003025132,0.00001222874,0.0002548807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00108576,"threshold_uncertainty_score":0.005742133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01774638941547797,"score_gpt":0.2639129286199711,"score_spread":0.2461665392044932,"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."}}