{"id":"W4221075351","doi":"10.3390/su14053087","title":"Understanding Flood Risk Perception: A Case Study from Canada","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Flood myth; Risk perception; Floodplain; Flooding (psychology); Climate change; Risk governance; Flood risk management; Geography; Environmental planning; Environmental resource management; Natural hazard; Risk management; Perception; Business; Psychology; Environmental science; Cartography; Ecology","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":[0.002097368,0.0004793016,0.000490232,0.001245398,0.01886924,0.003760484,0.001442785,0.0013874,0.002946332],"category_scores_gemma":[0.004390967,0.0003234322,0.0004098582,0.003203513,0.00332158,0.001147599,0.002215336,0.002473802,0.0002075488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06294017,"about_ca_system_score_gemma":0.06952211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.991471,"about_ca_topic_score_gemma":0.9957593,"domain_scores_codex":[0.9980806,0.0004939019,0.00004827249,0.000147032,0.0005263054,0.0007038823],"domain_scores_gemma":[0.9959949,0.001076332,0.0002124365,0.00008350133,0.001523811,0.001109049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00011984,0.0005099839,0.08441868,0.0001850604,0.00002412624,0.009216158,0.8741834,0.0002993378,0.001352155,0.001965754,0.005386349,0.02233916],"study_design_scores_gemma":[0.00001129794,0.00007846531,0.03978364,0.0001475178,0.0000164258,0.0005510712,0.9440503,0.0004985725,0.0002294128,0.0001752396,0.01441395,0.00004406759],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917036,0.0003130004,0.0002510119,0.002093866,0.00001732734,0.00009822186,0.0001633387,0.000007556805,0.005351893],"genre_scores_gemma":[0.9934883,0.000814261,0.0005619006,0.0008523386,0.000008240921,0.00004797835,0.0001152583,0.00001285357,0.004098756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06294017,"threshold_uncertainty_score":0.456665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02223613513092191,"score_gpt":0.2465613287590008,"score_spread":0.2243251936280789,"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."}}