{"id":"W4286239345","doi":"10.3233/cbm-220034","title":"Identification of urinary biomarkers of colorectal cancer: Towards the development of a colorectal screening test in limited resource settings","year":2022,"lang":"en","type":"article","venue":"Cancer Biomarkers","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; National Cancer Institute; Genome Canada","keywords":"Medicine; Colonoscopy; Colorectal cancer; Logistic regression; Urine; Metabolite; Urinary system; Receiver operating characteristic; Internal medicine; Oncology; Biomarker; Cancer; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000820454,0.0001569496,0.0002835721,0.0001827256,0.0001441266,0.000005203569,0.0003426503,0.0000627637,0.000034212],"category_scores_gemma":[0.0001536792,0.0001408924,0.0001085696,0.0007015486,0.0002468722,0.000004026186,0.0003873442,0.00008964172,7.17521e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009469152,"about_ca_system_score_gemma":0.0003216793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002354712,"about_ca_topic_score_gemma":0.0001533021,"domain_scores_codex":[0.9984318,0.0001114573,0.0006366642,0.0003282981,0.0002649361,0.0002268602],"domain_scores_gemma":[0.9990283,0.0000583139,0.000566531,0.0002013973,0.0001112226,0.00003422976],"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":[0.0008520919,0.0001261756,0.05061801,0.00006951611,0.0004873109,8.40234e-7,0.0007007033,0.0001300878,0.9370598,0.00000677976,0.0007337693,0.009214943],"study_design_scores_gemma":[0.0006873924,0.0002553311,0.2082539,0.00003597638,0.00004787599,0.000003323573,0.00248582,0.0002621154,0.7825751,0.000003650586,0.00523597,0.0001535561],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939614,0.004642172,0.00005403563,0.0003209472,0.0001307543,0.0003618445,0.0002938651,0.000005181946,0.0002297949],"genre_scores_gemma":[0.9983252,0.0003479599,0.0008621869,0.00003095643,0.00001793273,0.0002724077,0.00007593819,0.00001854623,0.00004884021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1576359,"threshold_uncertainty_score":0.5745423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01449670586261191,"score_gpt":0.2622463053505061,"score_spread":0.2477495994878942,"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."}}