{"id":"W2158002046","doi":"10.1123/japa.17.1.17","title":"Accelerometer Assessment of Physical Activity in Active, Healthy Older Adults","year":2009,"lang":"en","type":"article","venue":"Journal of Aging and Physical Activity","topic":"Physical Activity and Health","field":"Medicine","cited_by":415,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Accelerometer; Physical activity; Morning; Medicine; Physical therapy; Physical medicine and rehabilitation; Cut-point; Healthy aging; Gerontology; Psychology; Computer science; Mathematics; Internal medicine; Statistics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005405101,0.0002575321,0.0003671666,0.0005197171,0.0001253203,0.0002387674,0.0001778262,0.0004124773,0.000558183],"category_scores_gemma":[0.001756439,0.0001883995,0.0001290987,0.0003888147,0.0000688969,0.0002126922,0.0001644198,0.0002315124,0.0003073261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006662605,"about_ca_system_score_gemma":0.00009625209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001023628,"about_ca_topic_score_gemma":0.002811617,"domain_scores_codex":[0.999619,0.0001399385,0.00005149003,0.00004701034,0.0001257748,0.00001680341],"domain_scores_gemma":[0.9995784,0.00005506021,0.0001350873,0.00002147156,0.0001713166,0.00003852056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000703349,0.0004397136,0.9283052,0.0001581587,0.0001348618,0.00009142904,0.0003962338,0.0001421493,0.01690994,0.00003725772,0.0008230278,0.05185858],"study_design_scores_gemma":[0.00005344166,0.0009290389,0.9963475,0.00001939463,0.00003451273,0.000236829,0.0001237884,0.0006297865,0.0008852342,0.00003112193,0.0007024802,0.000006897788],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965646,0.0005583429,0.001387891,0.00003503148,0.00001865689,0.00007431257,0.0003677143,0.00002086531,0.0009725803],"genre_scores_gemma":[0.989843,0.0007813901,0.007234403,0.00006442203,0.00004475706,0.0001792085,0.0008397559,0.000004423059,0.001008816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001023628,"threshold_uncertainty_score":0.00285852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03723653954463125,"score_gpt":0.3855233365216763,"score_spread":0.3482867969770451,"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."}}