{"id":"W2166402494","doi":"10.1139/h08-103","title":"Validation of the Kenz Lifecorder EX and ActiGraph GT1M accelerometers for walking and running in adults","year":2008,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Physical Activity and Health","field":"Medicine","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Accelerometer; Energy expenditure; Treadmill; Physical activity; Activity monitor; Preferred walking speed; Mathematics; Limits of agreement; Running economy; Physical therapy; Physical medicine and rehabilitation; Statistics; Medicine; Computer science; VO2 max; Nuclear 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007343483,0.00008779001,0.0003199887,0.00007900811,0.0001022441,0.000002691384,0.00002373112,0.0000771945,0.000002674312],"category_scores_gemma":[0.00001675157,0.00006624659,0.00003262059,0.0001226336,0.0001604087,0.00006590674,0.00002498725,0.000131046,1.716299e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004225421,"about_ca_system_score_gemma":0.00001470943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002823496,"about_ca_topic_score_gemma":0.00000261642,"domain_scores_codex":[0.9994507,0.00002515498,0.0001456778,0.0001901202,0.00005440256,0.0001339218],"domain_scores_gemma":[0.9996483,0.0001113216,0.00008195254,0.00008030966,0.00002488421,0.00005322067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001121063,0.0008350562,0.002817503,0.001069325,0.00005812191,4.857575e-7,0.00247256,8.058192e-7,0.9664507,0.006113697,0.0001652449,0.01889542],"study_design_scores_gemma":[0.006090106,0.00005318062,0.9491368,0.0001203746,0.00004748614,0.000009856006,0.0002589283,0.00005215218,0.0361931,0.006044702,0.001904694,0.00008865089],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983904,0.0005372515,0.00002164961,0.0003673557,0.0000415353,0.0005535772,0.000006999488,0.000009399162,0.00007184234],"genre_scores_gemma":[0.9964669,0.002446226,0.0004642865,0.0004233308,0.00009592999,0.00007662885,0.00001588208,0.00000673733,0.000004079232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9463193,"threshold_uncertainty_score":0.2701457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0295933615925265,"score_gpt":0.2782044623271859,"score_spread":0.2486111007346594,"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."}}