{"id":"W6949562755","doi":"10.5281/zenodo.14721563","title":"Script for : Metabolome-T1D","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Mendelian randomization; Causality (physics); Identification (biology); Natural (archaeology)","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002631085,0.003573635,0.003301718,0.002905135,0.001209401,0.003067974,0.002287226,0.001734141,0.617187],"category_scores_gemma":[0.009851437,0.002032733,0.003531155,0.001896671,0.0008078931,0.002006463,0.002421325,0.002182589,0.2477106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001191125,"about_ca_system_score_gemma":0.001960426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003026424,"about_ca_topic_score_gemma":0.003428116,"domain_scores_codex":[0.9989196,0.0002480679,0.0001333959,0.0003941872,0.0001318388,0.0001729418],"domain_scores_gemma":[0.9945387,0.003606741,0.0003007101,0.0006238944,0.0005428329,0.0003870437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002636515,0.000205179,0.006608475,0.003505949,0.0005847482,0.0004883831,0.0003223509,0.001856142,0.004098907,0.003603775,0.9557205,0.02036916],"study_design_scores_gemma":[0.01209102,0.0006370129,0.02378258,0.001386286,0.0007736685,0.001443237,0.0004609169,0.01785458,0.02709578,0.03722006,0.8763471,0.0009077854],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.002644943,0.0001804033,0.02137271,0.0004761744,0.0004899624,0.0006320532,0.8445033,0.124062,0.005638416],"genre_scores_gemma":[0.02983978,0.0004346101,0.1043667,0.002666815,0.0004872873,0.007879644,0.6628565,0.1735389,0.01792987],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.617187,"threshold_uncertainty_score":0.5460363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01325694110875236,"score_gpt":0.2401240094856779,"score_spread":0.2268670683769256,"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."}}