{"id":"W4387337706","doi":"10.1016/j.cjca.2023.06.314","title":"IDENTIFICATION OF CIRCULATING PROTEIN BIOMARKERS FOR CHILDHOOD OBESITY USING MENDELIAN RANDOMIZATION","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","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; Bioinformatics; Computational biology; Genetics; Internal medicine; Genome; Genetic variants; Gene; Genotype; Biology; Overweight; Single-nucleotide polymorphism","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":[0.0177994,0.001282976,0.001687682,0.002103921,0.0006949092,0.00107756,0.00136741,0.001273514,0.003672244],"category_scores_gemma":[0.03608458,0.0005763675,0.002097996,0.001606096,0.0009373365,0.0009306122,0.0008079242,0.000815825,0.0003021286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004608191,"about_ca_system_score_gemma":0.0009684432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002414132,"about_ca_topic_score_gemma":0.001204575,"domain_scores_codex":[0.975397,0.01887418,0.0008317172,0.002879644,0.001433662,0.0005837934],"domain_scores_gemma":[0.9840926,0.01079397,0.001677692,0.0027879,0.0003833206,0.0002644614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.05884633,0.001398757,0.6789783,0.0005519456,0.01829593,0.00361082,0.001210567,0.01329684,0.02382541,0.03881291,0.00355101,0.1576212],"study_design_scores_gemma":[0.01448136,0.01662826,0.4814114,0.0001749063,0.01412988,0.01013294,0.0004929526,0.3746426,0.0166112,0.06157501,0.009369912,0.0003497009],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7601225,0.0008718625,0.2337797,0.0005605098,0.0002050532,0.0008333639,0.0009283145,0.0007808596,0.001917842],"genre_scores_gemma":[0.9260133,0.0001693757,0.07175674,0.0001667175,0.00005259584,0.0006242711,0.0003057577,0.00008276973,0.0008284274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0177994,"threshold_uncertainty_score":0.09413332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01720219108400831,"score_gpt":0.2577826646191991,"score_spread":0.2405804735351908,"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."}}