{"id":"W4200035309","doi":"10.1212/wnl.0000000000013245","title":"Metagenomic Analysis of the Pediatric-Onset Multiple Sclerosis Gut Microbiome","year":2021,"lang":"en","type":"article","venue":"Neurology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Multiple sclerosis; Metagenomics; Microbiome; Medicine; Odds ratio; Internal medicine; Biology; Disease; Immunology; Bioinformatics; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001048366,0.0001101856,0.0002435778,0.00009050761,0.00007454777,0.000006633105,0.0002352216,0.0001684619,0.00007658709],"category_scores_gemma":[0.00006456633,0.00009094171,0.0002774889,0.0005037066,0.00007513279,0.00000110283,0.0002202545,0.0001135867,0.00001006508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004286902,"about_ca_system_score_gemma":0.0001421819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006720145,"about_ca_topic_score_gemma":0.0005239501,"domain_scores_codex":[0.9989225,0.000207782,0.0002383161,0.0003512897,0.00004731615,0.0002327984],"domain_scores_gemma":[0.999163,0.00003141861,0.0001237108,0.0005578311,0.00007958336,0.00004444688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004187685,0.00004776794,0.1862741,0.000008679387,0.0001869311,0.000001953803,0.00001783056,0.00008367741,0.812306,0.000005460159,0.0009874839,0.00003821358],"study_design_scores_gemma":[0.0004035539,0.0001400881,0.8434063,6.16015e-7,0.0006441831,0.00003139134,0.000004895096,0.00003258828,0.1437778,0.000004611854,0.01145107,0.0001029106],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978607,0.0007879522,0.00004482796,0.0007379837,0.0002486728,0.00007983983,0.0001655097,0.000005010716,0.00006948038],"genre_scores_gemma":[0.9965671,0.00041069,0.0001289323,0.002503109,0.00007479583,0.00000439785,0.0001242856,0.00001303663,0.0001736352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6685282,"threshold_uncertainty_score":0.3708495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01841541017019163,"score_gpt":0.2314456413899393,"score_spread":0.2130302312197477,"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."}}