{"id":"W4392190100","doi":"10.1016/j.physa.2024.129630","title":"Coupled dynamics of information propagation and emotion influence: Emerging emotion clusters for public health emergency messages on the Chinese Sina Microblog","year":2024,"lang":"en","type":"article","venue":"Physica A Statistical Mechanics and its Applications","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Response Biomedical (Canada); York University","funders":"Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Microblogging; Social media; Computer science; Public opinion; Sentiment analysis; Mechanism (biology); China; Public health; Data science; Dynamics (music); Pandemic; Psychology; Artificial intelligence; World Wide Web; Coronavirus disease 2019 (COVID-19); Medicine; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002764197,0.000135815,0.0001618339,0.00006335667,0.0003548319,0.0001105146,0.00008167247,0.00003162579,0.00001321208],"category_scores_gemma":[0.00004048457,0.0001052878,0.00004051952,0.0003033782,0.00003032025,0.0002894855,0.00003805738,0.0001195184,0.000003244747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003783699,"about_ca_system_score_gemma":0.00006540074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003908646,"about_ca_topic_score_gemma":0.000004293539,"domain_scores_codex":[0.9990983,0.00003699604,0.0003616476,0.0001949678,0.0001343375,0.0001737777],"domain_scores_gemma":[0.9992402,0.0002026294,0.000176541,0.0001177268,0.0001877995,0.00007516996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003573144,0.00005358309,0.00002543239,0.0001714891,0.00002762081,7.561719e-9,0.000537548,0.0001263451,0.0003086525,0.9689086,0.00004803242,0.02978909],"study_design_scores_gemma":[0.0001065569,0.00007843192,0.0008071098,0.00003528156,0.00001616196,1.705349e-7,0.0004359653,0.7695604,0.00001033088,0.2285265,0.0003257549,0.00009737445],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06097821,0.00004420115,0.930106,0.006636146,0.00006916262,0.001120081,0.0009567143,0.00002750919,0.00006197878],"genre_scores_gemma":[0.9980546,0.0001182807,0.0007714323,0.00006745323,0.00005928767,0.0003397427,0.0005674256,0.00001208306,0.000009685455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9370764,"threshold_uncertainty_score":0.4293512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189955369631318,"score_gpt":0.2939721084182969,"score_spread":0.2820725547219837,"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."}}