{"id":"W2046882251","doi":"10.3791/50643","title":"Using Continuous Data Tracking Technology to Study Exercise Adherence in Pulmonary Rehabilitation","year":2013,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital du Sacré-Cœur de Montréal","funders":"Fonds de Recherche du Québec - Santé; Canadian Lung Association","keywords":"Pulmonary rehabilitation; Medicine; Physical therapy; Aerobic exercise; Treadmill; Protocol (science); Attendance; Heart rate; Physical medicine and rehabilitation; Exercise intensity; Rehabilitation; Heart rate monitor; Computer science; Simulation; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006759646,0.0001973679,0.0006484347,0.0009101862,0.00006338274,0.00004678385,0.0005193853,0.00009652946,0.000432542],"category_scores_gemma":[0.0006184319,0.0001764348,0.00007433549,0.0007744606,0.0000939571,0.0006676427,0.0003773095,0.0003628164,0.00003639065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004912336,"about_ca_system_score_gemma":0.0002510421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002052712,"about_ca_topic_score_gemma":0.000002234611,"domain_scores_codex":[0.9973527,0.0001845764,0.000918159,0.0004031465,0.0007540872,0.0003872888],"domain_scores_gemma":[0.9981069,0.00009493396,0.0003120706,0.0006827952,0.0005201807,0.0002831345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002206606,0.008064884,0.5003418,0.0001571699,0.0001861081,0.001301249,0.003677071,0.00002095385,0.3796968,0.00001410055,0.0002757836,0.1040574],"study_design_scores_gemma":[0.01566369,0.004213553,0.8692775,0.00258303,0.0002532641,0.0006808371,0.07214615,0.005173089,0.02846505,0.0007238312,0.0002485588,0.0005714859],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954407,0.001876096,0.0001674793,0.0002779541,0.0001718557,0.001953873,0.00000501243,0.00002007045,0.00008702176],"genre_scores_gemma":[0.9888088,0.00002407958,0.01090053,0.00004027431,0.00007954327,0.00006093254,0.000005857709,0.00003561624,0.0000443873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3689356,"threshold_uncertainty_score":0.7194803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08176088560740315,"score_gpt":0.4917493429881521,"score_spread":0.409988457380749,"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."}}