{"id":"W1763133168","doi":"10.1096/fasebj.25.1_supplement.986.11","title":"Predicting energy expenditure from physical activity, heart rate and anthropometry in female Indian tea pluckers","year":2011,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Physical Activity and Health","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Energy expenditure; Anthropometry; Heart rate; Medicine; Demography; Physical activity; Metabolic equivalent; Basal metabolic rate; Population; Body weight; Mathematics; Animal science; Physical therapy; Internal medicine; Blood pressure; Environmental health; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005410931,0.0003623128,0.0002682651,0.0004648379,0.0003108905,0.0005397659,0.000383404,0.0002823558,0.0007563048],"category_scores_gemma":[0.001873395,0.0002273623,0.000349637,0.0003183988,0.0001517586,0.000199341,0.0003325821,0.0003352143,0.0004404899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001498644,"about_ca_system_score_gemma":0.0001581859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01126562,"about_ca_topic_score_gemma":0.01613683,"domain_scores_codex":[0.9997591,0.00008770393,0.00002407655,0.00005131469,0.00004538259,0.00003230755],"domain_scores_gemma":[0.9995649,0.0001258632,0.0001288035,0.00006723906,0.00006896,0.00004414719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002120783,0.00009853962,0.9890267,0.000018394,0.00004931355,0.0000632744,0.0003718149,0.0003245922,0.002177299,0.00001556669,0.00009820657,0.00754425],"study_design_scores_gemma":[0.000005860677,0.0001853413,0.9976573,0.000006341255,0.00002303014,0.0001327423,0.000432029,0.001117807,0.0002789912,0.00001086235,0.0001431521,0.000006396899],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991056,0.00002996099,0.0005400726,0.00001474659,0.00000205801,0.00001340599,0.00009871256,0.000008173313,0.0001872432],"genre_scores_gemma":[0.9983608,0.00004564564,0.001097542,0.00001680475,0.000004728646,0.00002696822,0.0002273653,0.000003470701,0.0002167405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01126562,"threshold_uncertainty_score":0.02240008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04806812438208206,"score_gpt":0.3086099574902141,"score_spread":0.2605418331081321,"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."}}