{"id":"W4387933942","doi":"10.1016/j.jcjd.2023.10.317","title":"IDENTIFICATION OF CIRCULATING PROTEIN BIOMARKERS FOR CHILDHOOD OBESITY USING MENDELIAN RANDOMIZATION","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mendelian randomization; Medicine; Genome-wide association study; Childhood obesity; Obesity; Genomics; Body mass index; Proteomics; Mendelian inheritance; Psychological intervention; Bioinformatics; Computational biology; Genetics; Genome; Internal medicine; Genetic variants; Gene; Biology; Genotype; Single-nucleotide polymorphism; Overweight; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01916213,0.001283211,0.001663774,0.002224456,0.0007203745,0.001084781,0.001455196,0.001250212,0.003587342],"category_scores_gemma":[0.037395,0.0006178283,0.002021405,0.001645742,0.0009916283,0.0009712531,0.0008344487,0.0008265093,0.000277197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004922227,"about_ca_system_score_gemma":0.001042961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002829622,"about_ca_topic_score_gemma":0.001411255,"domain_scores_codex":[0.974213,0.01991434,0.0008249669,0.00296682,0.001479236,0.0006016662],"domain_scores_gemma":[0.9826485,0.01191626,0.001819297,0.002938003,0.0003945621,0.0002834223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.05411974,0.001387913,0.6773752,0.0005120305,0.01622443,0.003556302,0.001246611,0.0143214,0.02334822,0.04169042,0.003422238,0.1627955],"study_design_scores_gemma":[0.01326659,0.01415987,0.4545265,0.0001658739,0.0120605,0.009863898,0.000481646,0.4050139,0.01610103,0.06556926,0.008430157,0.0003608033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7399902,0.0008050785,0.2541323,0.0005544969,0.0001925691,0.0007474376,0.0009190725,0.0008337013,0.001825064],"genre_scores_gemma":[0.9176091,0.0001617469,0.080263,0.0001570396,0.00004902724,0.0005825015,0.0002956902,0.00008795069,0.0007940542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01916213,"threshold_uncertainty_score":0.1013402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01416874056246168,"score_gpt":0.2467776253805598,"score_spread":0.2326088848180982,"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."}}