{"id":"W2912671949","doi":"10.2196/11489","title":"Measuring Free-Living Physical Activity With Three Commercially Available Activity Monitors for Telemonitoring Purposes: Validation Study","year":2019,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Physical Activity and Health","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Activity tracker; Activity monitor; Physical activity; BitTorrent tracker; Computer science; Medicine; Physical medicine and rehabilitation; Eye tracking; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01253104,0.001658991,0.0007855813,0.0008296635,0.0005885964,0.0006000932,0.001074615,0.001307618,0.0008291226],"category_scores_gemma":[0.01095376,0.0005748755,0.001417925,0.0006002854,0.0009024995,0.0006308585,0.0008345931,0.0005939176,0.0003568839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004511691,"about_ca_system_score_gemma":0.0008030032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001434319,"about_ca_topic_score_gemma":0.002617003,"domain_scores_codex":[0.9900994,0.004642352,0.0008615192,0.001235222,0.002793282,0.0003682768],"domain_scores_gemma":[0.9886584,0.004380388,0.001611563,0.001727041,0.003242775,0.0003799051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01135514,0.03964068,0.7034631,0.001640264,0.001555302,0.0005076152,0.007084882,0.002937826,0.1173029,0.0002874132,0.0007640411,0.1134609],"study_design_scores_gemma":[0.002711199,0.1291315,0.82113,0.0001724666,0.001205126,0.001414838,0.001272234,0.006506149,0.03306155,0.0001388017,0.003143682,0.0001125979],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934716,0.0001465585,0.004917107,0.00001603151,0.00001624826,0.0009188845,0.0001383713,0.00002415812,0.0003509925],"genre_scores_gemma":[0.9808378,0.0001853411,0.01589721,0.00008888789,0.00003216071,0.001598709,0.0009108128,0.00001742106,0.0004317752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01253104,"threshold_uncertainty_score":0.06627131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2052824741011471,"score_gpt":0.4418915893951483,"score_spread":0.2366091152940011,"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."}}