{"id":"W2331994956","doi":"10.1016/j.jsams.2012.11.224","title":"Validity and reliability of a smart phone-based physical activity monitoring application","year":2012,"lang":"en","type":"article","venue":"Journal of science and medicine in sport","topic":"Physical Activity and Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Population and Public Health","funders":"","keywords":"Accelerometer; Reliability (semiconductor); Rehabilitation; Mobile phone; Smart phone; Physical activity; Pulmonary disease; Medicine; Physical medicine and rehabilitation; Motion sensors; Coronary heart disease; Phone; Disease; Physical therapy; Computer science; Medical emergency; Telecommunications; Cardiology; Internal medicine; Artificial intelligence","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":[0.0101113,0.000465872,0.0005358043,0.00147686,0.0005567402,0.001332471,0.0006308784,0.0009228662,0.001290331],"category_scores_gemma":[0.03533675,0.0003959715,0.00122072,0.0007785499,0.0006628348,0.0009125447,0.001164958,0.0007330672,0.0009236042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005406069,"about_ca_system_score_gemma":0.0007215803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001664813,"about_ca_topic_score_gemma":0.002762841,"domain_scores_codex":[0.9913351,0.002849362,0.001188979,0.001095814,0.003264375,0.0002663465],"domain_scores_gemma":[0.9605686,0.02133352,0.004314025,0.002181025,0.01084709,0.0007557996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001003258,0.0008808851,0.9451894,0.000194281,0.0003713759,0.00008175587,0.001948999,0.0007175502,0.004529877,0.0003178498,0.0008972847,0.0438676],"study_design_scores_gemma":[0.0000936588,0.001469995,0.9850245,0.000105308,0.0002528923,0.0002551973,0.0008882767,0.006643156,0.002609004,0.0002561267,0.002363279,0.00003865265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908684,0.0002084556,0.004008899,0.0001545006,0.0001519434,0.0003503981,0.0004694551,0.00007904789,0.003708966],"genre_scores_gemma":[0.9914943,0.0001519942,0.005760567,0.0001384128,0.00006076914,0.0004606509,0.0005369657,0.00003442768,0.001361888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0101113,"threshold_uncertainty_score":0.05347431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05759854018098434,"score_gpt":0.3872345079969444,"score_spread":0.3296359678159601,"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."}}