{"id":"W2947558782","doi":"10.2196/13127","title":"Using the Unified Theory of Acceptance and Use of Technology (UTAUT) to Investigate the Intention to Use Physical Activity Apps: Cross-Sectional Survey","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unified theory of acceptance and use of technology; Cross-sectional study; Psychology; Survey research; Computer science; Applied psychology; Internet privacy; Social influence; Social psychology; Mathematics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003281909,0.0002402359,0.0005662806,0.0002862752,0.001169205,0.00002437791,0.0002822722,0.000277809,0.00002170439],"category_scores_gemma":[0.0009124725,0.0001588765,0.00005057547,0.001164188,0.0004216133,0.0002406795,0.0002660667,0.0009865105,0.00001833397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001910533,"about_ca_system_score_gemma":0.001393321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003262759,"about_ca_topic_score_gemma":0.001016721,"domain_scores_codex":[0.9958861,0.001443104,0.000907653,0.0005813623,0.0003266464,0.0008551725],"domain_scores_gemma":[0.9944345,0.002715618,0.0008087963,0.0008237264,0.0005232224,0.0006940902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009981596,0.000135705,0.9548573,0.001580866,0.00001189081,1.036296e-7,0.001352717,0.00004499088,0.0005874709,0.03142987,0.0002138853,0.008787028],"study_design_scores_gemma":[0.000564078,0.0002800663,0.9928659,0.0001495057,0.00001429332,0.000003321686,0.0004848296,0.0007057846,0.0000444873,0.001538357,0.003233937,0.0001154475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881018,0.0001131912,0.001416081,0.003203378,0.0003479173,0.006483101,0.0002469893,0.00005483135,0.00003271256],"genre_scores_gemma":[0.9937927,0.0003120799,0.0007613297,0.003581633,0.00008185153,0.001179053,0.00001666331,0.00003237538,0.0002422871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03800858,"threshold_uncertainty_score":0.8992701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2365065764517568,"score_gpt":0.4983480568572247,"score_spread":0.2618414804054678,"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."}}