{"id":"W2512088267","doi":"10.1111/risa.12659","title":"The Emergence of Flood Insurance in Canada: Navigating Institutional Uncertainty","year":2016,"lang":"en","type":"article","venue":"Risk Analysis","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Flood insurance; Flood myth; Business interruption insurance; Property insurance; Business; Casualty insurance; Insurance policy; Actuarial science; Government (linguistics); Income protection insurance; Environmental planning; General insurance; Geography","routes":{"ca_aff":false,"ca_fund":true,"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":[0.004287201,0.0002119751,0.0003407086,0.00181869,0.01666837,0.009548718,0.001752946,0.0009169072,0.002473204],"category_scores_gemma":[0.01202063,0.000363337,0.0004205676,0.002663658,0.01032093,0.002136802,0.005430622,0.002457063,0.00008916642],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2209534,"about_ca_system_score_gemma":0.2365148,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954311,"about_ca_topic_score_gemma":0.9980715,"domain_scores_codex":[0.9950464,0.000812324,0.0001277537,0.0003730977,0.001436283,0.002204171],"domain_scores_gemma":[0.9901676,0.003289235,0.001217258,0.0003348173,0.003090015,0.001901176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003101758,0.0001676383,0.4636497,0.0002972912,0.0001594468,0.003664931,0.2581916,0.01341754,0.002088506,0.1482844,0.01443325,0.09533561],"study_design_scores_gemma":[0.00002142846,0.00005654733,0.3302643,0.0005239113,0.00009714662,0.000241897,0.5548705,0.01286612,0.001128945,0.01754838,0.08214883,0.000232067],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9359953,0.001012887,0.002007754,0.0157992,0.00002829342,0.00009081887,0.0004442098,0.00002774083,0.0445938],"genre_scores_gemma":[0.9978943,0.0003299242,0.000378036,0.0002310645,0.000002752498,0.000007332913,0.0000580964,0.000005181613,0.001093377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2209534,"threshold_uncertainty_score":0.9035836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00362337969835976,"score_gpt":0.2069084443330464,"score_spread":0.2032850646346866,"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."}}