{"id":"W4396948826","doi":"10.1371/journal.pone.0290197","title":"Mapping sedentary behaviour (MAPS-B) in winter and spring using wearable sensors, indoor positioning systems, and diaries in older adults who are pre-frail and frail: A feasibility longitudinal study","year":2024,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Physical Activity and Health","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; University of Toronto; McMaster University; University of Manitoba","funders":"Hamilton Health Sciences; McMaster Institute for Research on Aging, McMaster University; Natural Sciences and Engineering Research Council of Canada; Osteoporosis Canada; Canadian Institutes of Health Research; AGE-WELL","keywords":"Wearable computer; Sedentary behavior; Spring (device); Longitudinal study; Gerontology; Physical medicine and rehabilitation; Medicine; Environmental science; Physical activity; Computer science; Engineering; Embedded system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006090333,0.0006413534,0.0004963233,0.0009930332,0.001634102,0.0009563855,0.0005931887,0.0009564402,0.0007233546],"category_scores_gemma":[0.006823245,0.0009545612,0.001241827,0.0005534769,0.0006033932,0.001254297,0.001598747,0.001094488,0.0006190423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005406732,"about_ca_system_score_gemma":0.001471652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01393209,"about_ca_topic_score_gemma":0.02162978,"domain_scores_codex":[0.998364,0.0006032226,0.0001994966,0.0002356219,0.0003521172,0.000245496],"domain_scores_gemma":[0.9967232,0.0004336212,0.0007490609,0.000402644,0.0009302715,0.0007612485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001487611,0.003337479,0.9803302,0.0000653971,0.0001440275,0.0001907408,0.00407857,0.00009413663,0.001184808,0.00003822099,0.0003021406,0.008746694],"study_design_scores_gemma":[0.0001872911,0.006300659,0.9900038,0.0000295213,0.00008654859,0.000171749,0.00183189,0.0003442056,0.0002393412,0.00004994004,0.0007279258,0.00002717947],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987319,0.00004812805,0.0004058726,0.00003253552,0.000005285689,0.0003453444,0.000202267,0.000006260889,0.0002223715],"genre_scores_gemma":[0.9960924,0.00009550919,0.00138383,0.00008386257,0.00001861109,0.001246859,0.000558978,0.000005733126,0.0005142249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01393209,"threshold_uncertainty_score":0.0322091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07630975357869951,"score_gpt":0.3103914104053755,"score_spread":0.234081656826676,"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."}}