{"id":"W4396645728","doi":"10.1111/jvim.17092","title":"Salivary metabolomic identification of biomarker candidates for oral melanoma and oral squamous cell carcinoma in dogs","year":2024,"lang":"en","type":"article","venue":"Journal of Veterinary Internal Medicine","topic":"Salivary Gland Disorders and Functions","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Metabolomics Innovation Centre; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Chulalongkorn University; Canada Foundation for Innovation; Genome Canada","keywords":"Medicine; Saliva; Metabolite; Metabolomics; Heterocyclic amine; Metabolome; Biomarker; Cancer; Internal medicine; Gastroenterology; Biochemistry; Chromatography; Carcinogen; Chemistry","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":[0.0006436704,0.0001547865,0.0005218511,0.0005980704,0.00002294641,0.00001506149,0.00009642996,0.00007135956,0.0001275318],"category_scores_gemma":[0.000145378,0.0001042216,0.0001287437,0.0001987284,0.0001227018,0.0001690537,0.00003049422,0.0002005002,0.000001969857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005208926,"about_ca_system_score_gemma":0.00008241936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004239708,"about_ca_topic_score_gemma":0.00001441326,"domain_scores_codex":[0.9985126,0.0000566569,0.0008835952,0.0001686205,0.000219435,0.0001590522],"domain_scores_gemma":[0.9991338,0.0002378001,0.000247533,0.0001242558,0.000132569,0.0001240517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0174072,0.0007257251,0.2867887,0.002469191,0.000392955,0.002588789,0.002648094,0.000006729936,0.6493522,0.0002072449,0.01895845,0.01845467],"study_design_scores_gemma":[0.01607685,0.02477634,0.9094767,0.00171236,0.001448294,0.01462852,0.001942765,0.007094888,0.007986031,0.001123179,0.01339729,0.0003367509],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824079,0.0129105,0.001421786,0.001469132,0.001222338,0.0002068375,0.00002591871,0.000009198972,0.0003263747],"genre_scores_gemma":[0.9986501,0.0002657718,0.0003173254,0.0001280804,0.0002513829,0.00000750053,0.00001800545,0.00002142168,0.0003404543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6413662,"threshold_uncertainty_score":0.4250034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03618604537360237,"score_gpt":0.3266767709744394,"score_spread":0.290490725600837,"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."}}