{"id":"W3003551560","doi":"10.2196/16409","title":"Activity Tracker–Based Metrics as Digital Markers of Cardiometabolic Health: Cross-Sectional Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Physical Activity and Health","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Activity tracker; Medicine; Waist; Confounding; Population; Physical therapy; Cross-sectional study; Body mass index; Gerontology; Internal medicine; Environmental health; Physical activity; Pathology","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":[0.003140061,0.000425493,0.0003345205,0.0007343107,0.0004918925,0.0006951076,0.0004014823,0.000662147,0.00122161],"category_scores_gemma":[0.003330972,0.0005955836,0.0005576098,0.0008840178,0.0002802176,0.0007056712,0.0005348726,0.0007264017,0.0006200156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000188467,"about_ca_system_score_gemma":0.0002924931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001742632,"about_ca_topic_score_gemma":0.002966204,"domain_scores_codex":[0.998632,0.0006253419,0.0001312444,0.0002963217,0.0002125838,0.0001024808],"domain_scores_gemma":[0.9970759,0.0006513331,0.000895721,0.0004398822,0.0006096766,0.0003275365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001962418,0.0002402603,0.9975867,0.00001811011,0.000129469,0.00002179053,0.0001111996,0.00002554451,0.0003535038,0.00001522948,0.00007133299,0.001230621],"study_design_scores_gemma":[0.00002586353,0.0009355621,0.9977718,0.00001063197,0.0001184794,0.0001601302,0.0001835218,0.000249224,0.0001587646,0.00002053453,0.0003596506,0.000005862926],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978059,0.0003375552,0.0009537391,0.00002167856,0.00001236558,0.0000806291,0.0003736353,0.000007760724,0.0004067626],"genre_scores_gemma":[0.9977334,0.0001333392,0.001139005,0.00007832193,0.00001755469,0.0001210187,0.0004486238,0.000006431901,0.0003223168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003140061,"threshold_uncertainty_score":0.01660645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1320816599026152,"score_gpt":0.4363026277439131,"score_spread":0.3042209678412979,"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."}}