{"id":"W2566563739","doi":"10.5555/arwg.14.1.r457102587347xt7","title":"Public Response to Bangladesh's 2007 Floods and Cyclone Sidr: A Comparison","year":2011,"lang":"en","type":"article","venue":"Arab world geographer","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flood myth; Cyclone (programming language); Natural disaster; Government (linguistics); Tropical cyclone; Democracy; Flooding (psychology); Geography; Emergency management; Socioeconomics; Business; Political science; Economic growth; Psychology; Politics; Meteorology; Sociology; Economics; Engineering","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":[0.000747246,0.000156124,0.0001790787,0.0008971923,0.0008322321,0.001092334,0.000246069,0.0007037729,0.006025155],"category_scores_gemma":[0.003596204,0.00009389468,0.000239212,0.001397605,0.0006325078,0.0007318053,0.0008250397,0.0005386116,0.0006659069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001948338,"about_ca_system_score_gemma":0.0009608371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03150473,"about_ca_topic_score_gemma":0.06133811,"domain_scores_codex":[0.9993907,0.0001951482,0.00003796103,0.00003783756,0.0001104016,0.0002277938],"domain_scores_gemma":[0.9980845,0.0005880327,0.0005398753,0.00006964064,0.0004086816,0.0003092418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002035017,0.0006933275,0.7664522,0.0007558913,0.0002819944,0.003589446,0.1100496,0.0009693839,0.002055923,0.004276257,0.02022141,0.08861947],"study_design_scores_gemma":[0.00004691526,0.00037693,0.8502545,0.00009280076,0.00003793593,0.0002864116,0.1352904,0.0001049468,0.0002237082,0.0001877438,0.01307756,0.00002034412],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788214,0.0003167799,0.00002644583,0.002327549,0.00003657895,0.00002584324,0.0005456524,0.000004692627,0.01789505],"genre_scores_gemma":[0.9979783,0.0004563984,0.00000870136,0.0002340477,0.00001459329,0.00001371794,0.0002564312,0.000001862032,0.00103583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03150473,"threshold_uncertainty_score":0.06264269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04687585790754531,"score_gpt":0.2935539634160555,"score_spread":0.2466781055085102,"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."}}