{"id":"W4383368896","doi":"10.3390/metabo13070826","title":"mGWAS-Explorer 2.0: Causal Analysis and Interpretation of Metabolite–Phenotype Associations","year":2023,"lang":"en","type":"article","venue":"Metabolites","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Genome Canada","keywords":"Phenotype; Quantitative trait locus; Metabolomics; Context (archaeology); Biology; Single-nucleotide polymorphism; Computational biology; Genetic association; Genetics; Trait; Bioinformatics; Gene; Genotype; Computer science","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":[0.008514197,0.003057795,0.002044041,0.004283562,0.0007776257,0.002431469,0.002864903,0.0011672,0.0241498],"category_scores_gemma":[0.02507809,0.00135511,0.004536151,0.002432758,0.001147477,0.001305184,0.003965032,0.002031439,0.003689526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005270671,"about_ca_system_score_gemma":0.002665908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002245576,"about_ca_topic_score_gemma":0.00309834,"domain_scores_codex":[0.9971052,0.001296586,0.0002453052,0.0007598274,0.000407251,0.0001858401],"domain_scores_gemma":[0.9824945,0.01480519,0.000902437,0.001028581,0.0004181277,0.000351115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.008371401,0.0008151122,0.1482631,0.01060507,0.01763439,0.008059032,0.003542257,0.05538949,0.05924008,0.05207806,0.2358631,0.400139],"study_design_scores_gemma":[0.002751467,0.001092729,0.06116447,0.0007338973,0.004690825,0.005287236,0.0006821593,0.3981759,0.05300206,0.2029101,0.2687564,0.0007528418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03530604,0.001088849,0.7161952,0.001336613,0.0004118463,0.0006342012,0.05338625,0.1889991,0.002641978],"genre_scores_gemma":[0.1791869,0.0008569963,0.7553759,0.001005881,0.0002195402,0.003442044,0.03059512,0.02617229,0.003145332],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0241498,"threshold_uncertainty_score":0.08078915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206889301646155,"score_gpt":0.2686315681493854,"score_spread":0.2565626751329239,"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."}}