{"id":"W2945051652","doi":"10.2196/12245","title":"Factors Influencing User Engagement of Health Information Disseminated by Chinese Provincial Centers for Disease Control and Prevention on WeChat: Observational Study","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Descriptive statistics; Popularity; Logistic regression; Operationalization; Observational study; Reading (process); Psychology; Computer science; Medicine; Medical education; Statistics; Social psychology; Political 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004287149,0.0002725357,0.0005992659,0.0002287309,0.001058739,0.00002856425,0.0001186235,0.0001245566,0.00004592292],"category_scores_gemma":[0.0003731608,0.0002067732,0.00005343234,0.0002356179,0.00003535202,0.001556579,0.00005435761,0.0004867403,0.000007398331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003799581,"about_ca_system_score_gemma":0.001586384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004404447,"about_ca_topic_score_gemma":0.00005585323,"domain_scores_codex":[0.995034,0.001011661,0.00254061,0.0003238751,0.0004391451,0.0006507522],"domain_scores_gemma":[0.9961869,0.0006748647,0.001908535,0.0002932713,0.000321231,0.0006151856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001089853,0.0003160023,0.9637734,0.009410566,0.00001342101,2.244267e-8,0.01492607,0.000004508736,0.000003531909,0.0004377884,0.001338737,0.008686151],"study_design_scores_gemma":[0.004483364,0.001311337,0.9819066,0.0003525261,0.00001661687,5.33065e-8,0.006120948,0.001370506,8.386939e-7,0.0001381696,0.004152629,0.0001464031],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984162,0.000108318,0.0009347653,0.001839329,0.0004086849,0.01163271,0.0008015772,0.00006666252,0.00004591459],"genre_scores_gemma":[0.9921476,0.00005403978,0.0001101148,0.005989234,0.00005404439,0.0006680859,0.0008685387,0.00001578755,0.00009260573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01813326,"threshold_uncertainty_score":0.8431965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09609113401262652,"score_gpt":0.4770099790181357,"score_spread":0.3809188450055092,"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."}}