{"id":"W3191900407","doi":"10.2196/29375","title":"Health Communication About Hospice Care in Chinese Media: Digital Topic Modeling Study","year":2021,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Palliative Care and End-of-Life Issues","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Social Science Fund of China","keywords":"Topic model; Mass media; Latent Dirichlet allocation; Health care; Psychology; Medicine; Computer science; Family medicine; Information retrieval; Advertising; 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":[0.003727804,0.0006926007,0.0006477815,0.005709832,0.001339676,0.002358385,0.0007134998,0.0007145065,0.003288568],"category_scores_gemma":[0.01039715,0.000303615,0.001384979,0.007057898,0.0007243693,0.002406879,0.001288986,0.0008426888,0.0004627315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00224264,"about_ca_system_score_gemma":0.002112865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03965561,"about_ca_topic_score_gemma":0.02186107,"domain_scores_codex":[0.9986308,0.0003997428,0.0001560864,0.0002945292,0.0002924069,0.000226406],"domain_scores_gemma":[0.9910091,0.006096161,0.001225365,0.000399577,0.0008527277,0.00041704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002298032,0.0004917437,0.9340237,0.0006660575,0.0003665694,0.0007260872,0.02857616,0.001008162,0.0005791004,0.001515431,0.002905388,0.02891177],"study_design_scores_gemma":[0.00004893232,0.0001923707,0.9252346,0.0002672087,0.0007802568,0.0005129137,0.03037631,0.03515613,0.0006123845,0.0008736734,0.005864463,0.00008072716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994404,0.0004762557,0.00101742,0.0005486131,0.00002464895,0.0001650747,0.001493968,0.00001515587,0.001854879],"genre_scores_gemma":[0.9953285,0.000579567,0.0008441922,0.00009493514,0.00009668504,0.000180274,0.00205517,0.00001129596,0.0008093649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03965561,"threshold_uncertainty_score":0.07884961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08784870283663632,"score_gpt":0.4281810279261895,"score_spread":0.3403323250895531,"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."}}