{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003062072,0.0004657063,0.0008386978,0.0002856275,0.0004071033,0.0001044622,0.0001019205,0.0002852532,0.0001085038],"category_scores_gemma":[0.0009055054,0.0003778053,0.0001335208,0.0007996132,0.0006675866,0.0002146885,0.0002717538,0.0007684197,0.00001310211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000909436,"about_ca_system_score_gemma":0.0001118412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006277635,"about_ca_topic_score_gemma":0.002439101,"domain_scores_codex":[0.9970593,0.0001552078,0.0005910521,0.0009363813,0.0004894935,0.0007685068],"domain_scores_gemma":[0.9983659,0.0004636734,0.0001343022,0.0004491336,0.000165216,0.0004217488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005502988,0.0006423739,0.8565321,0.000239045,0.0003706105,0.00004906133,0.002528206,0.00001713789,0.03745042,0.000008326405,0.0002492842,0.1013632],"study_design_scores_gemma":[0.009874959,0.0003319002,0.9766538,0.001130815,0.0001353643,0.00003390168,0.004076031,0.005720606,0.0007013732,0.00001223785,0.0008718446,0.0004571303],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899455,0.004665427,0.00001624029,0.003444891,0.0001216324,0.0007754074,0.0001061257,0.0001127997,0.0008119576],"genre_scores_gemma":[0.9665402,0.03135604,0.001158183,0.000234706,0.00003778821,0.0001172574,0.000139944,0.00007756624,0.000338303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1201218,"threshold_uncertainty_score":0.9998674,"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."}}