{"id":"W6929825245","doi":"10.5061/dryad.bvq83bkg2","title":"Monitoring mobility in older adults using a global positioning system (GPS) smartwatch and accelerometer: A validation study","year":2023,"lang":"en","type":"dataset","venue":"DRYAD","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"McMaster Institute for Research on Aging, McMaster University; AGE-WELL","keywords":"Global Positioning System; Sedentary behavior; Accelerometer; Activity monitor; Smartwatch; Sitting; Physical activity","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003913747,0.0002492793,0.0002830513,0.00006461551,0.00009968453,0.000109904,0.000187352,0.0003396677,0.000001004305],"category_scores_gemma":[0.00001913786,0.0002601416,0.00005673367,0.000162411,0.00002428631,0.000009531658,0.0003192876,0.0001780823,0.00001263509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001182097,"about_ca_system_score_gemma":0.00004995391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001547238,"about_ca_topic_score_gemma":0.0001987534,"domain_scores_codex":[0.9986189,0.00008430492,0.000435041,0.0004343844,0.0001562714,0.000271097],"domain_scores_gemma":[0.9992539,0.0000111556,0.0001854898,0.0004329996,0.00004883812,0.00006765464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001744034,0.003358273,0.1573783,0.0102865,0.002143399,0.0003776712,0.001858804,0.003196342,0.003077013,0.00001681018,0.7920295,0.02453338],"study_design_scores_gemma":[0.04847557,0.007698955,0.7389958,0.0277499,0.003581152,0.000819211,0.03817885,0.04537771,0.006668547,0.000353063,0.06681383,0.01528743],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7342265,0.0002662159,0.00004251427,0.000003540579,0.0005121713,0.000649185,0.2642798,0.00001438631,0.000005684299],"genre_scores_gemma":[0.5253323,0.0001468537,0.0001664313,0.00001430545,0.0005463203,0.00008336286,0.4736795,0.00002234202,0.000008594066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7252157,"threshold_uncertainty_score":0.9999851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01469505113091668,"score_gpt":0.2800939394109045,"score_spread":0.2653988882799878,"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."}}