{"id":"W4389034129","doi":"10.1096/fasebj.30.1_supplement.lb380","title":"Dietary Intakes of Canadian Armed Forces Field Rations Compared to the Dietary Reference Intakes","year":2016,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Occupational Health and Performance","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; University of Toronto","funders":"","keywords":"Micronutrient; Nutrient; Dietary Reference Intake; Animal science; Population; Food science; Medicine; Environmental health; Chemistry; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006686707,0.0004036327,0.0004279367,0.001236347,0.001694858,0.0007149251,0.0005113427,0.0001644084,0.003653061],"category_scores_gemma":[0.001870058,0.0001598295,0.0002790614,0.002565159,0.0002375229,0.0001887915,0.0003293837,0.0002570871,0.000228859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005924365,"about_ca_system_score_gemma":0.004341254,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9452286,"about_ca_topic_score_gemma":0.9457211,"domain_scores_codex":[0.9991336,0.00008273089,0.00004854207,0.0001381841,0.0005022418,0.00009461445],"domain_scores_gemma":[0.9993067,0.00004317094,0.00009169365,0.0000500978,0.0004498516,0.00005852331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004012614,0.0004063083,0.8526089,0.0007604801,0.001006078,0.0002917477,0.003569591,0.0006172903,0.01506801,0.001004353,0.0216871,0.09896761],"study_design_scores_gemma":[0.00002380591,0.00009982895,0.9932907,0.00001648536,0.00005122587,0.00004594635,0.0003176802,0.0001857567,0.0003381424,0.00002589414,0.005594126,0.00001039065],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654957,0.002100655,0.001147673,0.0001763639,0.00005223938,0.0002066994,0.01781727,0.00007448558,0.01292881],"genre_scores_gemma":[0.983237,0.0009260068,0.003029637,0.0001081971,0.00001262223,0.0002009954,0.007789089,0.00002351227,0.004672981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05477142,"threshold_uncertainty_score":0.1101879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1608761425881755,"score_gpt":0.406327082575678,"score_spread":0.2454509399875026,"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."}}