{"id":"W2905281845","doi":"10.2196/11270","title":"Accuracy of Samsung Gear S Smartwatch for Activity Recognition: Validation Study","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Physical Activity and Health","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; National Institutes of Health; University of Florida","keywords":"Accelerometer; Smartwatch; Shaker; Wearable computer; Computer science; Activity recognition; Wearable technology; Treadmill; Artificial intelligence; Machine learning; Medicine; Physical therapy; Embedded system","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":[0.002740428,0.0006834805,0.000454392,0.0007929308,0.0001675974,0.0004546543,0.0005691105,0.0006594525,0.001345885],"category_scores_gemma":[0.006267274,0.0001883625,0.0006658442,0.00045583,0.0003164393,0.0004009326,0.000575478,0.0001815739,0.001244989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000139144,"about_ca_system_score_gemma":0.0001781318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001007464,"about_ca_topic_score_gemma":0.00147464,"domain_scores_codex":[0.9978086,0.0006504183,0.0003458938,0.0004905029,0.0006089934,0.00009556871],"domain_scores_gemma":[0.9955385,0.001454648,0.0005857393,0.0006460844,0.001644538,0.0001303802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002223817,0.0005890017,0.8217872,0.0003495245,0.0004358886,0.0001867715,0.0004424413,0.002099389,0.03870368,0.0001160052,0.001026118,0.1320401],"study_design_scores_gemma":[0.0001559439,0.00473693,0.9507294,0.00008230277,0.00028906,0.0009429654,0.000290803,0.02341071,0.01678627,0.000097664,0.002443823,0.00003412446],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847055,0.0003244961,0.01257521,0.0000358701,0.00007765539,0.0002505948,0.0007445063,0.0002278832,0.001058255],"genre_scores_gemma":[0.9872811,0.0001649617,0.00993053,0.00006178888,0.000026515,0.0002419013,0.001466413,0.00002633212,0.0008004045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002740428,"threshold_uncertainty_score":0.01449293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1904144250828123,"score_gpt":0.4625430735479976,"score_spread":0.2721286484651854,"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."}}