{"id":"W7111833459","doi":"","title":"How Can Municipalities in British Columbia and Quebec Contribute to Flood Risk Reduction?","year":2023,"lang":"en","type":"other","venue":"TSpace","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flood insurance; Flood myth; Relocation; Sustainability; Emergency management; Risk management; Business interruption insurance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00168769,0.0003193881,0.0002623664,0.001972224,0.006384387,0.004852787,0.001363524,0.0009270382,0.008797656],"category_scores_gemma":[0.008135006,0.0001801151,0.0003920487,0.003894222,0.001496103,0.001406834,0.002166427,0.0009771856,0.0006809455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05301174,"about_ca_system_score_gemma":0.1163196,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924408,"about_ca_topic_score_gemma":0.9970924,"domain_scores_codex":[0.9981508,0.0004345032,0.00004180049,0.00009308135,0.0004159177,0.0008639686],"domain_scores_gemma":[0.99483,0.0006370831,0.000283286,0.0001011802,0.0026061,0.001542414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001594878,0.0002166795,0.1325996,0.001694784,0.0001718767,0.001940842,0.01608706,0.003364578,0.0007301832,0.04478718,0.3016373,0.4966103],"study_design_scores_gemma":[0.00005711849,0.00005939656,0.21478,0.002569835,0.0002198582,0.0002317665,0.08219524,0.001744629,0.0004472651,0.005805241,0.6917763,0.0001133848],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2670102,0.03258844,0.002660364,0.2183374,0.001053129,0.0005107453,0.00504232,0.0003044412,0.4724929],"genre_scores_gemma":[0.9230422,0.01946943,0.002145062,0.008293007,0.00009447412,0.0001733484,0.001262626,0.00004921581,0.04547061],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05301174,"threshold_uncertainty_score":0.3846289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007671524192157915,"score_gpt":0.246210094168044,"score_spread":0.2385385699758861,"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."}}