{"id":"W3200387566","doi":"10.1016/j.msard.2021.103237","title":"Dietary intake and characteristics in persons with multiple sclerosis","year":2021,"lang":"en","type":"article","venue":"Multiple Sclerosis and Related Disorders","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut du Savoir Montfort; Niagara Health System; University of Ottawa","funders":"","keywords":"Medicine; Micronutrient; Vitamin B12; Dietary Reference Intake; Food group; Multiple sclerosis; Food science; Vitamin; Environmental health; Nutrient; Population; Physiology; Internal medicine; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0003415582,0.0002872559,0.0005332945,0.001338139,0.0007591401,0.0006894827,0.000218664,0.0006779682,0.002321242],"category_scores_gemma":[0.001446158,0.0003444857,0.00063854,0.002491161,0.0001824386,0.0005909537,0.000431234,0.0005603597,0.0003002489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002510455,"about_ca_system_score_gemma":0.0001914852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01019235,"about_ca_topic_score_gemma":0.01102844,"domain_scores_codex":[0.9997718,0.0000669674,0.0000447192,0.00003983064,0.0000353809,0.00004132728],"domain_scores_gemma":[0.999375,0.0001255811,0.0002782936,0.00004499812,0.00006520793,0.0001108964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004453042,0.000183895,0.9970338,0.00003125068,0.0002552876,0.0001050853,0.0001390379,0.00002177208,0.0003993177,0.00001236234,0.0000655684,0.001307247],"study_design_scores_gemma":[0.000005749569,0.0001080037,0.9993486,0.000004818724,0.00004631058,0.0001139991,0.0002158265,0.00002524272,0.00002811237,0.00001084116,0.00008948307,0.000002949793],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982049,0.0007730212,0.00002381021,0.0000522523,0.000009004324,0.000003868762,0.0003713132,0.00000251404,0.0005592735],"genre_scores_gemma":[0.9986815,0.0003680664,0.00006859675,0.00004288987,0.00001365089,0.000006841188,0.0003568562,0.000001694799,0.0004597541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01019235,"threshold_uncertainty_score":0.02026606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0452704021666997,"score_gpt":0.253101953925558,"score_spread":0.2078315517588583,"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."}}