{"id":"W2563175145","doi":"10.5555/arwg.12.1-2.8tm7855238u72363","title":"Spatial Patterns and Distribution of Disasters in the OIC Member Countries","year":2011,"lang":"en","type":"article","venue":"Arab world geographer","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Hazard; Distribution (mathematics); Natural disaster; Geography; Natural hazard; Business; Economic geography; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003003041,0.0001087686,0.0001625833,0.002208204,0.0003511343,0.0008323876,0.0002128786,0.0002076143,0.001820368],"category_scores_gemma":[0.001399277,0.0001074173,0.0001392576,0.00345004,0.0005377792,0.0003772538,0.0007231999,0.0001828306,0.0002461028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003502721,"about_ca_system_score_gemma":0.0003767508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01466831,"about_ca_topic_score_gemma":0.01596825,"domain_scores_codex":[0.9997968,0.00004740719,0.00002619137,0.0000413064,0.00003536751,0.00005288835],"domain_scores_gemma":[0.9989399,0.0001817645,0.0004579361,0.00007311899,0.0002539575,0.00009314553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001676501,0.00003173454,0.9627449,0.0001534235,0.00006495416,0.0003495672,0.006491482,0.001378485,0.0008802646,0.001475966,0.002402009,0.02385948],"study_design_scores_gemma":[0.000002586709,0.00002354744,0.9876626,0.00004419383,0.00000931571,0.000201179,0.008413937,0.0002805909,0.00009281202,0.00009765924,0.003161953,0.000009735465],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942905,0.0005456251,0.0001208362,0.0001104547,0.000006536401,0.0000128122,0.001011656,0.00001174775,0.003889846],"genre_scores_gemma":[0.9984455,0.0004397884,0.0001665384,0.00001005508,0.000004454021,0.000009636148,0.0005129655,0.000002533054,0.0004086156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01466831,"threshold_uncertainty_score":0.02916586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810014936575937,"score_gpt":0.2573530513762003,"score_spread":0.239252902010441,"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."}}