{"id":"W1499500103","doi":"10.1111/jfr3.12104","title":"Through Hell and High Water!","year":2014,"lang":"en","type":"article","venue":"Journal of Flood Risk Management","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Geography; Flooding (psychology); Foothills; Downtown; Population; Flood myth; Tributary; Socioeconomics; Hydrology (agriculture); Archaeology; Demography; Cartography; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002166674,0.0003369994,0.0001836273,0.0005399217,0.01306698,0.002508003,0.0005729915,0.0007581233,0.02021228],"category_scores_gemma":[0.0005676307,0.0002094145,0.0001809076,0.000999583,0.001922086,0.0007449481,0.00174503,0.001361397,0.002927539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01872043,"about_ca_system_score_gemma":0.04236366,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9874876,"about_ca_topic_score_gemma":0.9972838,"domain_scores_codex":[0.9996996,0.00001578755,0.000006059942,0.00002933619,0.0001206837,0.0001285451],"domain_scores_gemma":[0.999635,0.000008242159,0.00001466345,0.000007926574,0.0001266312,0.0002074569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001111787,0.00008593075,0.06284452,0.0002062917,0.00002130636,0.004480337,0.01350228,0.0004657425,0.001918677,0.003614306,0.7859339,0.1268155],"study_design_scores_gemma":[0.00001397028,0.00006064207,0.1679652,0.0002464476,0.00001771533,0.00122231,0.06365502,0.0002855952,0.0004559821,0.0009196908,0.7650811,0.00007636114],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3979752,0.01214234,0.001777645,0.08596215,0.003960276,0.0002735731,0.008240463,0.001286448,0.488382],"genre_scores_gemma":[0.5886731,0.008839903,0.002557436,0.01277817,0.0002257049,0.00004435158,0.004257419,0.0002458547,0.3823781],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9874876,"threshold_uncertainty_score":0.1358269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003348730711493377,"score_gpt":0.1965834070822857,"score_spread":0.1932346763707923,"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."}}