{"id":"W2929506112","doi":"10.3390/su11071970","title":"How Development Affects News Media Coverage of Earthquakes: Implications for Disaster Risk Reduction in Observing Communities","year":2019,"lang":"en","type":"article","venue":"Sustainability","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Center for International Studies, University of Southern California","keywords":"Newspaper; Media coverage; Disaster risk reduction; News media; Business; Political science; Geography; Environmental planning; Advertising; Sociology; Media studies","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":[0.001484462,0.0001742837,0.0001844387,0.001197197,0.0005896197,0.00198836,0.0003076046,0.0003896603,0.004866443],"category_scores_gemma":[0.02059782,0.0001475517,0.000254066,0.002314829,0.000919226,0.001776217,0.001220641,0.0008490899,0.0004873876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007345616,"about_ca_system_score_gemma":0.0005195725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02013959,"about_ca_topic_score_gemma":0.02282322,"domain_scores_codex":[0.9987589,0.0005586381,0.00007033515,0.0002176137,0.0001349324,0.0002595425],"domain_scores_gemma":[0.9728856,0.01725287,0.006153433,0.0007412158,0.001387619,0.001579196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001117441,0.00007363774,0.9868247,0.00004919695,0.0000760004,0.0001351237,0.00307514,0.0004074388,0.0003426582,0.0005900119,0.0008354223,0.007478778],"study_design_scores_gemma":[0.000004077043,0.00002307558,0.9921266,0.00002028584,0.00003569863,0.00004470589,0.005087966,0.0007188821,0.0002301652,0.0003873643,0.001313733,0.000007470826],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935389,0.0001507399,0.0003564119,0.0009269476,0.00001222549,0.00001296827,0.001002991,0.000008805065,0.003989934],"genre_scores_gemma":[0.99882,0.00008232021,0.0001327814,0.00004143388,0.00001377442,0.000009533455,0.0003975007,0.000005494499,0.0004969641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02013959,"threshold_uncertainty_score":0.04004478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02221948855080842,"score_gpt":0.2923390447990959,"score_spread":0.2701195562482875,"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."}}