{"id":"W2955792793","doi":"10.1139/apnm-2019-0129","title":"Use of consumer monitors for estimating energy expenditure in youth","year":2019,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institutes of Health","keywords":"Calorie; Energy expenditure; Mathematics; Physical activity; Animal science; Statistics; Physical therapy; Medicine; Biology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002327188,0.000589357,0.0005016221,0.0009584178,0.0002398503,0.000750669,0.000490136,0.0004842417,0.0009763635],"category_scores_gemma":[0.007051475,0.0002939964,0.0004708156,0.0009839057,0.0001347683,0.0004317282,0.000485951,0.0004462479,0.0004188747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002332461,"about_ca_system_score_gemma":0.0001809458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002579644,"about_ca_topic_score_gemma":0.003724632,"domain_scores_codex":[0.9962677,0.001487475,0.0003914639,0.0004254752,0.001333989,0.00009388549],"domain_scores_gemma":[0.996614,0.000887291,0.001341085,0.0002224523,0.000835822,0.00009935561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003490038,0.00009777678,0.971772,0.00009880932,0.0001438162,0.00004079419,0.0002430281,0.0001179021,0.00150772,0.00002635874,0.0003403696,0.02526244],"study_design_scores_gemma":[0.0000171507,0.0005288945,0.9960598,0.00004099978,0.00008111224,0.0003719979,0.0001643953,0.0005576826,0.001186066,0.00001779862,0.0009645863,0.000009485319],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888101,0.001681103,0.004339911,0.00005785173,0.00004285046,0.0001728857,0.001607216,0.00009652651,0.003191478],"genre_scores_gemma":[0.9885229,0.0007724285,0.00792738,0.00009541317,0.00003193211,0.0002928089,0.001589775,0.00001881145,0.0007484774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002579644,"threshold_uncertainty_score":0.01230752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02413545917918569,"score_gpt":0.2682693010169188,"score_spread":0.2441338418377331,"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."}}