{"id":"W4362686394","doi":"10.1123/jmpb.2022-0041","title":"Moving Beyond the Characterization of Activity Intensity Bouts as Square Waves Signals","year":2023,"lang":"en","type":"article","venue":"Journal for the Measurement of Physical Behaviour","topic":"Physical Activity and Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Health Authority; Dalhousie University","funders":"","keywords":"Intensity (physics); Square wave; Metabolic equivalent; Square (algebra); Steady state (chemistry); Treadmill; Mathematics; Exercise intensity; Physical activity; Physical medicine and rehabilitation; Computer science; Simulation; Medicine; Physics; Physical therapy; Chemistry; Heart rate; Geometry; Optics; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001225029,0.0001410195,0.0004818275,0.00006285804,0.0003295911,0.00002128781,0.000171537,0.00004479759,0.00001021474],"category_scores_gemma":[0.000252883,0.00007491132,0.0004032888,0.000265705,0.0001091559,0.0001589084,0.00005543228,0.0004296,0.000006409839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000101092,"about_ca_system_score_gemma":0.0001568439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000359577,"about_ca_topic_score_gemma":0.000003716585,"domain_scores_codex":[0.9981638,0.00008437417,0.0002967005,0.0001387639,0.001060302,0.0002561241],"domain_scores_gemma":[0.9983063,0.000243534,0.0004147048,0.0002342194,0.000688166,0.0001130991],"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":[0.0007706426,0.001223191,0.00162416,0.0001361566,0.0001308138,0.000002270117,0.0009356792,0.00002322647,0.9876591,0.0002603575,0.000173829,0.007060551],"study_design_scores_gemma":[0.0008564062,0.001698188,0.4537637,0.0002957803,0.0005263738,0.00001230136,0.0003333509,0.002370256,0.5367117,0.003201396,0.0001270736,0.0001035163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931997,0.0000121902,0.0004641961,0.005382806,0.0002346356,0.0006018434,0.00003284241,0.00002026493,0.00005150771],"genre_scores_gemma":[0.9992979,0.0000184838,0.000009135911,0.000133622,0.0004236584,0.00001822142,0.00000663649,0.00001742826,0.00007497155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4521395,"threshold_uncertainty_score":0.3054795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1012945361406296,"score_gpt":0.3506748379495139,"score_spread":0.2493803018088843,"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."}}