{"id":"W4254077874","doi":"10.2196/preprints.24718","title":"Comparison of Mobile Health Technology Use for Self-Tracking Between Older Adults and the General Adult Population in Canada: Cross-Sectional Survey (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal; University of Ottawa","funders":"","keywords":"mHealth; Population; Telemedicine; Gerontology; Cross-sectional study; Medicine; Activity tracker; Health care; Psychological intervention; Environmental health; Nursing; Physical therapy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001292521,0.0002144917,0.0003256149,0.00157757,0.0014967,0.001247783,0.00078306,0.0004734737,0.002075874],"category_scores_gemma":[0.00313792,0.0002970109,0.0007659873,0.005303814,0.0004133212,0.0005515287,0.0007029256,0.0004700923,0.0003317258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01210953,"about_ca_system_score_gemma":0.01726905,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9858833,"about_ca_topic_score_gemma":0.9868463,"domain_scores_codex":[0.9986934,0.00008803054,0.0001863251,0.0001902936,0.0006274042,0.0002145876],"domain_scores_gemma":[0.9961558,0.000265214,0.0007840401,0.00009808744,0.002051806,0.0006451755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000317746,0.0000307807,0.9952978,0.0000745792,0.00004347238,0.00002009959,0.0005206544,0.00003098129,0.00006947694,0.00003678242,0.001351404,0.002492168],"study_design_scores_gemma":[0.000003201315,0.00001674974,0.9987115,0.00001701835,0.000008757171,0.00001190409,0.000612426,0.0000694706,0.00001577393,0.000003426258,0.0005262723,0.000003585996],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726943,0.0007652572,0.0001422051,0.0004049235,0.0000261828,0.000207151,0.02244321,0.00001928185,0.00329735],"genre_scores_gemma":[0.9892435,0.0008209978,0.0003699131,0.0003371686,0.00001173899,0.0001003919,0.007864141,0.000005905191,0.00124631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0141167,"threshold_uncertainty_score":0.08786124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1173160663927068,"score_gpt":0.4804312130663577,"score_spread":0.3631151466736509,"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."}}