{"id":"W2005853706","doi":"10.1080/10807030902761312","title":"Web Information and Social Impacts of Disasters in China","year":2009,"lang":"en","type":"article","venue":"Human and Ecological Risk Assessment An International Journal","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Social Science Fund of China; National Office for Philosophy and Social Sciences; National Natural Science Foundation of China","keywords":"China; Web application; Business; Social media; World Wide Web; Computer science; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006500714,0.0001378149,0.0001432355,0.002387226,0.0006620339,0.0007525499,0.0002396402,0.0002085424,0.001724154],"category_scores_gemma":[0.00186517,0.0001026105,0.0001968843,0.002650356,0.0004435623,0.0006539501,0.0007107706,0.0001912359,0.00008711444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003126132,"about_ca_system_score_gemma":0.001579753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.133582,"about_ca_topic_score_gemma":0.1375302,"domain_scores_codex":[0.9996419,0.00007345135,0.00002818482,0.00003758716,0.0001262969,0.00009250853],"domain_scores_gemma":[0.9984142,0.000390391,0.0005004822,0.00005743314,0.0003079379,0.0003295871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001001031,0.00009346331,0.9763658,0.00003992524,0.00006496366,0.0004602286,0.001196571,0.004331784,0.0004586311,0.001239636,0.0008799303,0.01476888],"study_design_scores_gemma":[0.00000433074,0.00002175971,0.993507,0.000007289348,0.00001644675,0.00004275486,0.0009154849,0.00437446,0.0001251094,0.0003472707,0.000631074,0.000006944197],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982343,0.00009456437,0.00005343891,0.0001898633,0.000002371795,0.000004791221,0.0001867428,0.000003605494,0.001230356],"genre_scores_gemma":[0.9995752,0.00005892101,0.00001976918,0.000009380386,0.000002748875,0.000002880598,0.00008767517,5.954935e-7,0.0002428746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.133582,"threshold_uncertainty_score":0.2656088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01555115084899188,"score_gpt":0.3585653515791639,"score_spread":0.343014200730172,"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."}}