{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005502415,0.000310929,0.0002658569,0.000544948,0.0004571727,0.0006020778,0.000350464,0.0002787351,0.00156295],"category_scores_gemma":[0.000810158,0.0003702046,0.0004449831,0.001093138,0.0003359112,0.0007379745,0.0005724972,0.0004485281,0.0003472526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009492773,"about_ca_system_score_gemma":0.0009519863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.134527,"about_ca_topic_score_gemma":0.1101504,"domain_scores_codex":[0.9996949,0.00004255056,0.00006403558,0.0000762183,0.00006202849,0.00006032522],"domain_scores_gemma":[0.9990583,0.00009025411,0.0003595863,0.00006212683,0.0001988472,0.0002308344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002055296,0.00003278671,0.9977317,0.00004881512,0.00002955754,0.0001116766,0.0004167838,0.00002433568,0.0001568427,0.00001020812,0.0003693926,0.001047278],"study_design_scores_gemma":[0.000001811661,0.00003333529,0.9986365,0.00001742732,0.00001287025,0.00007896263,0.0008893184,0.00007310912,0.00003132992,0.000003758144,0.000217663,0.000003873016],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972124,0.0001663686,0.00005239077,0.00006236324,0.000005015931,0.00003191582,0.001963294,0.000004138508,0.0005021986],"genre_scores_gemma":[0.9983422,0.0002340219,0.00007693561,0.00007947051,0.000003741146,0.00004162633,0.0007971778,0.000001725102,0.0004232452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.134527,"threshold_uncertainty_score":0.267488,"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."}}