{"id":"W3023528487","doi":"10.1016/j.ijdrr.2020.101645","title":"When the storm is over: Sentiments, communities and information flow in the aftermath of Hurricane Dorian","year":2020,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Storm; Privilege (computing); Information flow; Computer security; Internet privacy; History; Sociology; Computer science; Geography; Meteorology","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":[0.001613615,0.0001195632,0.0001529994,0.0005501754,0.003519092,0.003255643,0.0003169985,0.0008257314,0.002093832],"category_scores_gemma":[0.009042061,0.0001328085,0.0001378814,0.0005540448,0.001402992,0.001943695,0.001698349,0.0017526,0.0002149441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001752159,"about_ca_system_score_gemma":0.001345932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02908176,"about_ca_topic_score_gemma":0.05090476,"domain_scores_codex":[0.9993292,0.0002972936,0.00002423978,0.00005219704,0.0001386743,0.0001584765],"domain_scores_gemma":[0.9958531,0.00143422,0.001133431,0.00007239099,0.0006640555,0.0008429014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0006662824,0.0003398136,0.4296798,0.0001383599,0.0001144075,0.001217896,0.5139037,0.0003985961,0.002461305,0.004410312,0.01326616,0.03340334],"study_design_scores_gemma":[0.00001000425,0.0001030427,0.3621523,0.00004772795,0.00001883046,0.00009186197,0.6226467,0.0004527231,0.0002117782,0.0008850868,0.01334895,0.00003102272],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905654,0.00009422455,0.00006593913,0.003429599,0.00004938655,0.000008826714,0.00005101327,0.000003003127,0.005732629],"genre_scores_gemma":[0.9984161,0.0001051832,0.00005271482,0.0003989999,0.00003331287,0.000006309478,0.00003915696,0.000004258155,0.0009440055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02908176,"threshold_uncertainty_score":0.05782497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01366010742461839,"score_gpt":0.2763156128523337,"score_spread":0.2626555054277154,"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."}}