{"id":"W1520910680","doi":"10.1139/h07-107","title":"Physical activity and inactivity profiling: the next generationThis article is part of a supplement entitled <i>Advancing physical activity measurement and guidelines in Canada: a scientific review and evidence-based foundation for the future of Canadian physical activity guidelines</i> co-published by <i>Applied Physiology, Nutrition, and Metabolism</i> and the <i>Canadian Journal of Public Health</i>. It may be cited as Appl. Physiol. Nutr. Metab. 32(Suppl. 2E) or as Can. J. Public Health 98(Suppl. 2).","year":2007,"lang":"en","type":"review","venue":"Applied Physiology Nutrition and Metabolism","topic":"Physical Activity and Health","field":"Medicine","cited_by":133,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Children's Hospital of Eastern Ontario","funders":"Public Health Agency","keywords":"Pedometer; Physical activity; Profiling (computer programming); Accelerometer; Energy expenditure; Applied psychology; Medicine; Psychology; Gerontology; Computer science; Physical therapy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.02700238,0.001572295,0.00308111,0.006752898,0.002152322,0.007506548,0.004793167,0.003786583,0.008167733],"category_scores_gemma":[0.03280925,0.0007635276,0.002044139,0.009140827,0.002559842,0.005542248,0.003711039,0.006080106,0.001648007],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03101847,"about_ca_system_score_gemma":0.1985282,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8520265,"about_ca_topic_score_gemma":0.8933066,"domain_scores_codex":[0.9859497,0.002356487,0.00142106,0.000786932,0.008502234,0.0009835636],"domain_scores_gemma":[0.9322083,0.0116684,0.00314194,0.0009904692,0.0481303,0.003860652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001910309,0.00009806513,0.005610146,0.01787495,0.0002289474,0.00007979362,0.0009852118,0.0003993633,0.0004126252,0.009909221,0.1835918,0.7806187],"study_design_scores_gemma":[0.00009009252,0.0001849741,0.02110657,0.05101789,0.0006516498,0.0002082043,0.001523494,0.001077579,0.0004150262,0.004887787,0.9186552,0.0001813877],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001253136,0.8563307,0.004376792,0.1228027,0.005412157,0.0002887049,0.001913896,0.0002066152,0.007415356],"genre_scores_gemma":[0.01768347,0.9207509,0.02788169,0.02421905,0.003065222,0.0004225579,0.002218877,0.0001091252,0.003649068],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9689815,"threshold_uncertainty_score":0.2976899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2090629356712631,"score_gpt":0.3966802204473091,"score_spread":0.187617284776046,"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."}}