{"id":"W2965337497","doi":"10.2196/12606","title":"The Association Among Social Support, Self-Efficacy, Use of Mobile Apps, and Physical Activity: Structural Equation Models With Mediating Effects","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Structural equation modeling; Physical activity; Social support; Self-efficacy; Psychology; Physical activity level; mHealth; Gerontology; Medicine; Social psychology; Psychological intervention; Physical therapy; Computer science","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":[0.00911058,0.001603789,0.001393426,0.002829814,0.001295905,0.002139033,0.002124577,0.00157318,0.005757451],"category_scores_gemma":[0.01889799,0.001120516,0.004558608,0.002294428,0.001444736,0.001894237,0.002753931,0.002834874,0.0005076303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001571398,"about_ca_system_score_gemma":0.003764326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01809118,"about_ca_topic_score_gemma":0.01068434,"domain_scores_codex":[0.9947132,0.003069765,0.0002703766,0.0007236729,0.0005479711,0.000674937],"domain_scores_gemma":[0.9846966,0.01120686,0.0019232,0.0006163251,0.0007643713,0.0007924889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002730567,0.001140305,0.983337,0.0001727346,0.001697966,0.0002424555,0.001396232,0.003250686,0.00009498641,0.001539883,0.0008005225,0.006054088],"study_design_scores_gemma":[0.0004797241,0.001594297,0.7901899,0.0005870061,0.003823377,0.0005335197,0.003194844,0.1894404,0.0002580787,0.007844394,0.001950932,0.0001036367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992261,0.00064663,0.003490081,0.001112707,0.00007205721,0.0002524254,0.0008771418,0.00006538122,0.001222664],"genre_scores_gemma":[0.9960526,0.000340926,0.002165117,0.00009383641,0.00003349803,0.0003833309,0.0004813732,0.000007596332,0.0004416975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01809118,"threshold_uncertainty_score":0.04818195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05030532705184401,"score_gpt":0.408256318645889,"score_spread":0.357950991594045,"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."}}