{"id":"W4253383346","doi":"10.2139/ssrn.3469835","title":"Tissue-Specific Alteration of Metabolic Pathways Influences Glycemic Regulation","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Institute of Population and Public Health; University of Alberta; Université de Montréal","funders":"","keywords":"Biology; Type 2 diabetes; Genome-wide association study; Glucose homeostasis; Exome sequencing; Islet; Endocrinology; Genetics; Diabetes mellitus; Internal medicine; Gene; Insulin resistance; Medicine; Mutation; Single-nucleotide polymorphism; Genotype","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":[0.0002704485,0.0003379799,0.0003541828,0.0005370516,0.0001623276,0.0006438344,0.0001866962,0.0004092695,0.003250359],"category_scores_gemma":[0.0007667402,0.000216763,0.0003039003,0.0007735018,0.0002128569,0.0002147397,0.0002925615,0.0005196921,0.0004559657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001481501,"about_ca_system_score_gemma":0.0001499236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006431981,"about_ca_topic_score_gemma":0.0007309344,"domain_scores_codex":[0.9996819,0.00009568641,0.00003849378,0.000105705,0.00004156886,0.00003654151],"domain_scores_gemma":[0.99953,0.0001253066,0.0002120774,0.00005707257,0.00002965795,0.00004588986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0056985,0.0003929769,0.7060125,0.00012023,0.0009474418,0.001226821,0.0002848602,0.0004028266,0.255666,0.001245787,0.0004442085,0.02755783],"study_design_scores_gemma":[0.00002816838,0.0002507727,0.9889216,0.00001975961,0.0002451449,0.0009471413,0.0001043328,0.00058936,0.007594185,0.0007058952,0.000582255,0.00001134199],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961312,0.0007429642,0.001029478,0.0001442213,0.00003835573,0.000004697729,0.0003546001,0.0000248746,0.001529641],"genre_scores_gemma":[0.9978428,0.0003795213,0.0005814863,0.00006536552,0.00002530884,0.000005480048,0.0002253211,0.00001732321,0.0008572807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003250359,"threshold_uncertainty_score":0.01087356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008503580133219424,"score_gpt":0.2411250122908734,"score_spread":0.232621432157654,"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."}}