{"id":"W4282559158","doi":"10.3390/metabo12060526","title":"mGWAS-Explorer: Linking SNPs, Genes, Metabolites, and Diseases for Functional Insights","year":2022,"lang":"en","type":"article","venue":"Metabolites","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"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":"Single-nucleotide polymorphism; Computational biology; Biology; Metabolomics; Gene; SNP; Bioinformatics; Genome; Genetics; Genotype","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":[0.001692941,0.00250749,0.001014455,0.004412107,0.0005183766,0.002277374,0.001543354,0.0008663372,0.01728462],"category_scores_gemma":[0.005273757,0.0006974912,0.001816387,0.002409744,0.0004552404,0.001804202,0.004036083,0.001330815,0.003889345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004446738,"about_ca_system_score_gemma":0.00116716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002486933,"about_ca_topic_score_gemma":0.004374797,"domain_scores_codex":[0.9994247,0.0001354006,0.00005334464,0.0001711575,0.000157183,0.00005827545],"domain_scores_gemma":[0.9976713,0.001410421,0.0002721481,0.0002378619,0.0001287814,0.000279427],"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":[0.006037482,0.0006768546,0.07757881,0.007762919,0.003907234,0.006479403,0.002971122,0.0218911,0.06757464,0.03145224,0.3640215,0.4096467],"study_design_scores_gemma":[0.001636287,0.0008954969,0.05859943,0.001528411,0.001329021,0.00521926,0.001124269,0.1662196,0.05195435,0.129955,0.5808172,0.0007215971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.08349775,0.006146501,0.2829236,0.003816718,0.0007783407,0.0007630762,0.2117345,0.3936645,0.01667508],"genre_scores_gemma":[0.3264157,0.005879722,0.4675882,0.002224908,0.0004533068,0.001711878,0.1650216,0.02010625,0.01059833],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01728462,"threshold_uncertainty_score":0.05782288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296967275119484,"score_gpt":0.215356540826241,"score_spread":0.2023868680750462,"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."}}