{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002024791,0.0002819786,0.0007298405,0.0002854626,0.0008250113,0.0001324915,0.0003285698,0.0001037207,0.00003158784],"category_scores_gemma":[0.0002834944,0.0002211527,0.0001344062,0.0007184339,0.000136137,0.001276217,0.0003344027,0.001589061,0.0001966237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007055902,"about_ca_system_score_gemma":0.0004640901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005773995,"about_ca_topic_score_gemma":0.0001100282,"domain_scores_codex":[0.996227,0.0004619984,0.0001968641,0.0005185371,0.001659613,0.0009359845],"domain_scores_gemma":[0.9964818,0.001675753,0.0001583988,0.0007348001,0.0006543328,0.0002948947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01529762,0.0679901,0.5272402,0.006130646,0.001307797,0.00002694825,0.04843615,0.0001570374,0.1513612,0.0005248765,0.001775932,0.1797516],"study_design_scores_gemma":[0.00532587,0.0157546,0.8622193,0.0009536602,0.00007639293,0.000007336292,0.003505927,0.008644465,0.1022052,0.0004570958,0.0003393594,0.0005107961],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911003,0.000004740069,0.0004510098,0.0003119479,0.0001355049,0.005252385,0.00002411805,0.0001053282,0.002614635],"genre_scores_gemma":[0.9981151,0.000003096156,0.0001484572,0.000006408071,0.0005889892,0.0008125092,0.000004139101,0.00005173786,0.0002695503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3349791,"threshold_uncertainty_score":0.9018344,"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."}}