{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002098933,0.000348523,0.0005034687,0.002361197,0.001522556,0.00131619,0.0008381858,0.0006367994,0.002613429],"category_scores_gemma":[0.01205079,0.0003837868,0.0008400097,0.00508285,0.0006049175,0.001268692,0.001261439,0.0009454155,0.0002683042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002404343,"about_ca_system_score_gemma":0.003840617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1170666,"about_ca_topic_score_gemma":0.140639,"domain_scores_codex":[0.9977475,0.0004751264,0.0003866038,0.0002765016,0.0006438947,0.0004703552],"domain_scores_gemma":[0.9884214,0.002459742,0.005045613,0.0005662744,0.001997969,0.001508945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004788629,0.00009424645,0.9955912,0.00005617192,0.00003719205,0.00005494402,0.001929399,0.00001895147,0.00006772178,0.00001609692,0.0003542347,0.001731971],"study_design_scores_gemma":[0.000006131804,0.00005849661,0.9959991,0.00002522568,0.00003002155,0.00005684005,0.003134039,0.000259137,0.00003718232,0.00001486104,0.0003680451,0.00001080082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979267,0.000161272,0.00006145737,0.000102204,0.000004318369,0.00008225034,0.0009969225,0.000005729803,0.0006592106],"genre_scores_gemma":[0.9986604,0.0001201694,0.0001187638,0.00005221526,0.000008267022,0.0001001014,0.0007445456,0.000003224637,0.0001922134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1170666,"threshold_uncertainty_score":0.2327703,"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."}}