{"id":"W2977503248","doi":"10.1007/s00267-019-01208-0","title":"Flood Risk Management in Canada’s Prairie Provinces: an Analysis of Decision-Maker Priorities and Policy Preferences","year":2019,"lang":"en","type":"article","venue":"Environmental Management","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Flood myth; Resilience (materials science); Environmental resource management; Flood risk management; Environmental planning; Risk management; Psychological resilience; Business; Risk analysis (engineering); Geography; Economics; Finance","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":[0.005440665,0.0002630489,0.0004048345,0.001320686,0.003454328,0.004350266,0.001371542,0.0009527825,0.002768243],"category_scores_gemma":[0.01404754,0.0003483376,0.0006332141,0.002388272,0.001476756,0.0009632885,0.001028879,0.001201538,0.00008279349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07318693,"about_ca_system_score_gemma":0.0702095,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9873706,"about_ca_topic_score_gemma":0.9958449,"domain_scores_codex":[0.9962496,0.001318189,0.00008700886,0.0001545127,0.0006864297,0.001504191],"domain_scores_gemma":[0.989179,0.006377857,0.000517158,0.0001715664,0.002201308,0.001553072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.002826858,0.0008891677,0.6082917,0.0004421861,0.001314053,0.001253375,0.01315773,0.1681374,0.002009605,0.09076693,0.0154839,0.09542712],"study_design_scores_gemma":[0.0003354498,0.0002813213,0.729982,0.000336897,0.000499179,0.0001893149,0.05636622,0.1620969,0.001609571,0.01975611,0.02826153,0.0002854464],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829916,0.0003951521,0.0009330001,0.0023047,0.00001113312,0.00008476664,0.0003396494,0.000006306778,0.01293364],"genre_scores_gemma":[0.9974654,0.0002385579,0.0008649614,0.0001259104,0.00000331776,0.00001481842,0.0001019952,0.000004877088,0.001180108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07318693,"threshold_uncertainty_score":0.5310109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003190749681199858,"score_gpt":0.2049698964930084,"score_spread":0.2017791468118085,"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."}}