{"id":"W3025043627","doi":"10.2196/15338","title":"Monitoring Occupational Sitting, Standing, and Stepping in Office Employees With the W@W-App and the MetaWearC Sensor: Validation Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Physical Activity and Health","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Instituto de Salud Carlos III","keywords":"Sitting; Concordance; mHealth; Bland–Altman plot; Limits of agreement; Sedentary behavior; Physical therapy; Wilcoxon signed-rank test; Digital health; Actigraphy; Medicine; Physical medicine and rehabilitation; Psychology; Statistics; Mathematics; Physical activity; Psychological intervention; Nursing; Circadian rhythm","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":[0.003710421,0.001077818,0.0006040354,0.0005871053,0.0004168214,0.000601454,0.0009079492,0.0008738742,0.001261005],"category_scores_gemma":[0.006836007,0.0003764814,0.0009208847,0.0003400487,0.0005031619,0.0005004122,0.0008136678,0.0004614055,0.0005669951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002357266,"about_ca_system_score_gemma":0.0006462409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001971608,"about_ca_topic_score_gemma":0.003720416,"domain_scores_codex":[0.9975,0.000817458,0.0002889479,0.0005571774,0.0006959435,0.0001404369],"domain_scores_gemma":[0.9957719,0.001454177,0.0006408006,0.0004965141,0.001430211,0.0002064667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009448799,0.01430637,0.7275208,0.003624533,0.001893542,0.000880811,0.007167161,0.002092047,0.05716746,0.0002738586,0.002173371,0.1734513],"study_design_scores_gemma":[0.0007303114,0.02420692,0.941218,0.000461676,0.001368583,0.001990297,0.002346611,0.008098734,0.01542819,0.0001508326,0.003897411,0.0001024527],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943972,0.0002247367,0.003647421,0.00001903054,0.00001822616,0.0007134507,0.0003850198,0.00005302954,0.0005419779],"genre_scores_gemma":[0.980409,0.0003607175,0.01501707,0.0001152144,0.00004368169,0.001678105,0.001570229,0.00003736168,0.0007685101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003710421,"threshold_uncertainty_score":0.0196228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1233455233305032,"score_gpt":0.4069560142616673,"score_spread":0.2836104909311641,"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."}}