{"id":"W2078505451","doi":"10.1088/0031-9155/56/3/002","title":"Tumour xenograft detection through quantitative analysis of the metabolic profile of urine in mice","year":2011,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Cancer Research Institute","keywords":"Metabolite; Metabolomics; Receiver operating characteristic; Urine; Population; Chemistry; Area under the curve; Partial least squares regression; Chromatography; Biology; Medicine; Pharmacology; Internal medicine; Mathematics; Biochemistry","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":[0.0008092452,0.0007418865,0.0006342584,0.001128784,0.0001563315,0.0004048568,0.000216214,0.0004090858,0.0005565377],"category_scores_gemma":[0.0004875694,0.0002778476,0.0004326358,0.0007574582,0.0002652331,0.0003354675,0.0002397445,0.0007177431,0.0002998793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002372583,"about_ca_system_score_gemma":0.0002396741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006990017,"about_ca_topic_score_gemma":0.001171049,"domain_scores_codex":[0.9995609,0.0001117775,0.00002480931,0.0001142028,0.0001304425,0.00005780265],"domain_scores_gemma":[0.9995438,0.000114172,0.0001240937,0.00004727218,0.0001195576,0.00005115384],"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":[0.0003077452,0.0000744771,0.001337206,0.00004257616,0.00002043935,0.0000258233,0.00002340386,0.0002678588,0.9944057,0.00003651197,0.00005370707,0.003404585],"study_design_scores_gemma":[0.00001569846,0.00183094,0.02356041,0.000008450139,0.00007419452,0.0002264827,0.00004255394,0.008655093,0.9643902,0.00007591466,0.001096722,0.00002333592],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.90309,0.002787854,0.08598213,0.0001180404,0.00006793347,0.0003156946,0.004484933,0.001392638,0.00176071],"genre_scores_gemma":[0.9282503,0.002794406,0.06001013,0.0001138745,0.00002381492,0.000712806,0.004158079,0.0002019237,0.003734662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001128784,"threshold_uncertainty_score":0.004279792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.131004384556298,"score_gpt":0.3604963907488768,"score_spread":0.2294920061925789,"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."}}