{"id":"W2592937997","doi":"10.3390/nu9030200","title":"Validation of a Tablet Application for Assessing Dietary Intakes Compared with the Measured Food Intake/Food Waste Method in Military Personnel Consuming Field Rations","year":2017,"lang":"en","type":"article","venue":"Nutrients","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research; University of Toronto; Canadian Armed Forces","keywords":"Micronutrient; Food waste; Food intake; Food science; Food composition data; Environmental health; Medicine; Environmental science; Animal science; Waste management; Engineering; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003563364,0.0001119827,0.0002749261,0.00006002174,0.000482769,0.00002179328,0.0001214267,0.00005432876,0.000003109249],"category_scores_gemma":[0.0002730593,0.00008041216,0.00006470634,0.00009610677,0.00007920901,0.0001618553,0.0000347477,0.0001114618,4.274729e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004877007,"about_ca_system_score_gemma":0.00004553878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001715743,"about_ca_topic_score_gemma":0.0002779822,"domain_scores_codex":[0.9991166,0.00003758348,0.0002423936,0.000210998,0.0002405826,0.0001518576],"domain_scores_gemma":[0.9989137,0.0002968698,0.0001823555,0.0003096877,0.0002574676,0.00003994126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01170348,0.0060481,0.8021153,0.003586309,0.002440902,0.00001001705,0.01937143,0.0007821062,0.1024402,0.004336564,0.01342597,0.03373953],"study_design_scores_gemma":[0.05230317,0.007668013,0.4951824,0.004147595,0.001921908,0.00005438517,0.1374243,0.01971739,0.2657641,0.008114588,0.006400104,0.00130206],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687536,0.0005037264,0.02573015,0.003329512,0.000067877,0.001276627,0.00006865371,0.00001384667,0.0002560439],"genre_scores_gemma":[0.9880428,0.00002380165,0.01120254,0.0001726793,0.0000917463,0.0003216674,0.0001250232,0.00001122898,0.000008539227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.306933,"threshold_uncertainty_score":0.3713118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07493664093321563,"score_gpt":0.3395584633732727,"score_spread":0.2646218224400571,"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."}}