{"id":"W2623891518","doi":"10.2196/mhealth.7628","title":"Health App Possession Among Smartphone or Tablet Owners in Hong Kong: Population-Based Survey","year":2017,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Medicine; Possession (linguistics); Landline; Population; Environmental health; Gerontology; Psychological intervention; Phone; Nursing","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.007979053,0.0006427268,0.00158346,0.0006620312,0.008765232,0.0001013167,0.0007229074,0.0007211106,0.000295378],"category_scores_gemma":[0.001231686,0.0005300835,0.00008943574,0.0007492053,0.0002660334,0.0005553383,0.0002237908,0.002232268,0.0001275936],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001388497,"about_ca_system_score_gemma":0.009630466,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1374446,"about_ca_topic_score_gemma":0.167872,"domain_scores_codex":[0.9891787,0.002436009,0.002960692,0.001411969,0.0007218275,0.003290788],"domain_scores_gemma":[0.9895551,0.00169122,0.003052685,0.002025902,0.0003075871,0.003367519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008396645,0.0002629092,0.9431771,0.005229292,0.000004908017,0.000006178405,0.0005028402,0.00001794527,0.000001009574,0.0006072538,0.01252821,0.03682269],"study_design_scores_gemma":[0.004445509,0.0003456592,0.9801459,0.001019642,0.00001248266,0.000003276672,0.0004457308,0.001347266,5.51369e-7,0.0002231363,0.01159509,0.0004157373],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9611285,0.0008545171,0.0003232076,0.02501002,0.001537782,0.009323774,0.0004129365,0.0003477689,0.001061466],"genre_scores_gemma":[0.9761587,0.0029646,0.0009541841,0.01194568,0.0005578058,0.004897153,0.0009816084,0.000126495,0.001413752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03696881,"threshold_uncertainty_score":0.9997151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1207078221552715,"score_gpt":0.4905088522883272,"score_spread":0.3698010301330558,"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."}}