{"id":"W4399387206","doi":"10.1186/s12890-024-03079-6","title":"Metabolomic insights into pulmonary fibrosis: a mendelian randomization study","year":2024,"lang":"en","type":"article","venue":"BMC Pulmonary Medicine","topic":"Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Science and Technology of Sichuan Province; Jiangsu Development and Reform Commission","keywords":"Mendelian randomization; Medicine; Metabolomics; Pulmonary fibrosis; Metabolome; Disease; Genome-wide association study; Instrumental variable; Bioinformatics; Metabolite; Fibrosis; Computational biology; Single-nucleotide polymorphism; Internal medicine; Biology; Genetic variants; Genetics; Gene; Genotype; Computer science; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.03644688,0.0008821322,0.001426439,0.0009522171,0.000636949,0.001319061,0.001144785,0.001160154,0.003867814],"category_scores_gemma":[0.06494044,0.000412506,0.002562852,0.001384278,0.001286623,0.0007418522,0.0009452854,0.001174069,0.0003286742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004640666,"about_ca_system_score_gemma":0.001257234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009873196,"about_ca_topic_score_gemma":0.0008536458,"domain_scores_codex":[0.9587372,0.03379761,0.001037057,0.003780395,0.002175118,0.0004725716],"domain_scores_gemma":[0.9555561,0.0335339,0.003481965,0.006454036,0.0006541087,0.0003199858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02639864,0.001119531,0.4699967,0.002568543,0.02910912,0.006419284,0.00157105,0.02786523,0.01972297,0.1385957,0.01095079,0.2656826],"study_design_scores_gemma":[0.008384118,0.011307,0.2720857,0.000991057,0.02712409,0.01633759,0.0006439833,0.299043,0.01304163,0.304444,0.04612525,0.0004725238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3329179,0.004529991,0.6523573,0.002568847,0.0004534008,0.001323898,0.001603943,0.0008311246,0.003413539],"genre_scores_gemma":[0.891224,0.0006276476,0.1049513,0.0008020571,0.000140425,0.0009701662,0.0004690929,0.0001195633,0.0006956707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03644688,"threshold_uncertainty_score":0.1927518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01669486977785362,"score_gpt":0.2895157104282667,"score_spread":0.2728208406504131,"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."}}