{"id":"W2557619543","doi":"10.1177/1352458516681196","title":"Large differences in adiponectin levels have no clear effect on multiple sclerosis risk: A Mendelian randomization study","year":2016,"lang":"en","type":"article","venue":"Multiple Sclerosis Journal","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Medical Research Council; Multiple Sclerosis Society of Canada; McGill University","keywords":"Adiponectin; Mendelian randomization; Odds ratio; Medicine; Adipokine; Single-nucleotide polymorphism; Body mass index; Internal medicine; Confidence interval; Confounding; Endocrinology; Oncology; Genetics; Biology; Obesity; Genotype; Insulin resistance; Gene; Genetic variants","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002271931,0.0004919575,0.001040598,0.0006392748,0.0005346197,0.0001394788,0.0002585952,0.0001722441,0.0006754973],"category_scores_gemma":[0.00829112,0.0003028303,0.000372064,0.0003569534,0.00008834976,0.0004408731,0.00006619617,0.0004851777,0.0002123009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002345025,"about_ca_system_score_gemma":0.0001266869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001869455,"about_ca_topic_score_gemma":0.0005956432,"domain_scores_codex":[0.995532,0.001147063,0.001076304,0.0005844613,0.0009150854,0.0007451224],"domain_scores_gemma":[0.9964056,0.001615586,0.0005970317,0.0004712103,0.000379769,0.0005308215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008205642,0.001652292,0.9370894,0.0000320173,0.0003007192,0.00001930087,0.001769423,0.00004382154,0.01920664,0.000003203386,0.0003527882,0.03132477],"study_design_scores_gemma":[0.07575716,0.001740122,0.9142615,0.001149963,0.0003780235,0.00001382441,0.0007073205,0.001391174,0.003847746,0.0000117291,0.0003924965,0.0003488967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956033,0.0002120469,0.001121887,0.0002053569,0.0006678117,0.001755838,0.0001472118,0.0001054855,0.0001811079],"genre_scores_gemma":[0.9975605,0.0006296571,0.0002199654,0.0001365234,0.0008489953,0.0001566818,0.00001287599,0.00007392314,0.0003608702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06755152,"threshold_uncertainty_score":0.9999424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06063592039673418,"score_gpt":0.2694257868017861,"score_spread":0.208789866405052,"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."}}