{"id":"W4396582445","doi":"10.1152/japplphysiol.00763.2023","title":"The use of accelerometers to improve estimation of the thermic effect of food in whole room calorimetry studies","year":2024,"lang":"en","type":"article","venue":"Journal of Applied Physiology","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health","keywords":"Accelerometer; Calorimetry; Estimation; Thermoregulation; Medicine; Food science; Biology; Computer science; Internal medicine; Physics; Thermodynamics; Economics","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":[0.002151778,0.0007152536,0.0004446079,0.0005252918,0.0001409474,0.0005642666,0.0004076689,0.000530139,0.000864848],"category_scores_gemma":[0.005576043,0.0003200236,0.0002964225,0.0005921729,0.0001848949,0.0004955849,0.0003515152,0.0004473073,0.0002642787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001172252,"about_ca_system_score_gemma":0.0002709517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008863056,"about_ca_topic_score_gemma":0.002847683,"domain_scores_codex":[0.9988912,0.000610273,0.0000736081,0.0001560648,0.0002363927,0.0000325462],"domain_scores_gemma":[0.9984311,0.0006741222,0.0001957361,0.0002057146,0.0004600546,0.00003314763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001561254,0.0003658049,0.09152964,0.00126954,0.0003778967,0.0001285593,0.0006125157,0.002866426,0.5296878,0.0006776298,0.002031303,0.3688917],"study_design_scores_gemma":[0.0002764494,0.004087372,0.6722194,0.0003635826,0.0007068361,0.001219827,0.0005129909,0.04353627,0.2562174,0.001234262,0.01945652,0.0001690828],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6511124,0.007709045,0.3318667,0.0006626528,0.0007496334,0.000485523,0.001322941,0.0007726736,0.005318445],"genre_scores_gemma":[0.7217782,0.003333341,0.2715788,0.0002657975,0.0001772779,0.0004596342,0.0004705002,0.00007671529,0.00185984],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002151778,"threshold_uncertainty_score":0.01137978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01291098864605829,"score_gpt":0.2552600431264911,"score_spread":0.2423490544804329,"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."}}