{"id":"W4409794824","doi":"10.61091/jcmcc127b-521","title":"Modeling and Visualization of Public Opinion Sentiment Evolution after Sichuan Luding MS6.8 Earthquake Based on LSTM Neural Networks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visualization; Artificial neural network; Computer science; Sentiment analysis; Seismology; Artificial intelligence; Geology","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":[0.0001531848,0.0003691452,0.0001566742,0.0005448818,0.000143633,0.0002981921,0.0002182701,0.0002500988,0.0007796521],"category_scores_gemma":[0.0003850161,0.0001115595,0.0003467648,0.0003854695,0.0001024449,0.0003487509,0.0001763916,0.0002543149,0.0001558772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003503781,"about_ca_system_score_gemma":0.0001903957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01493204,"about_ca_topic_score_gemma":0.01388656,"domain_scores_codex":[0.9999512,0.00000787797,0.000002306918,0.00001589381,0.00001012322,0.00001257762],"domain_scores_gemma":[0.9999318,0.00002077368,0.00001206943,0.000003875056,0.00002561987,0.000005810018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005419244,0.0001831157,0.06261829,0.0001657614,0.0001735812,0.0009887486,0.0006212934,0.6103452,0.07373891,0.00297985,0.009366656,0.2382767],"study_design_scores_gemma":[0.000001573582,0.000009862715,0.004966482,0.000001695456,0.000005450788,0.000009634393,0.0000255225,0.9933339,0.001184412,0.0002908645,0.0001671526,0.000003497972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9018456,0.0003050092,0.09085531,0.0003990111,0.0000885089,0.00002247568,0.0009319966,0.001352953,0.004199174],"genre_scores_gemma":[0.9933395,0.00008507914,0.005086918,0.00001635162,0.00001446234,0.00001312218,0.0004615423,0.0000200489,0.0009629235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01493204,"threshold_uncertainty_score":0.02969027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01762087927876651,"score_gpt":0.2664779861903815,"score_spread":0.248857106911615,"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."}}