{"id":"W4392927418","doi":"10.32920/25417135.v1","title":"Flood Risk Management and Perceptions of Responsibility for Flood Risk on Toronto Island","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Flood myth; Vulnerability (computing); Risk management; Environmental planning; Hazard; Flood risk management; Natural hazard; Stakeholder; Flood mitigation; Disaster risk reduction; Environmental resource management; Emergency management; Geography; Business; Stakeholder engagement; Political science; Environmental science; Public relations; Computer security; Computer science; Finance; 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":[0.0006919252,0.0001607238,0.0001478046,0.0004902462,0.002362775,0.001738444,0.0003389602,0.0003297111,0.004271277],"category_scores_gemma":[0.00275994,0.000169836,0.0001589501,0.0005906924,0.002508677,0.000727383,0.00145545,0.0006478615,0.0001658829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0117741,"about_ca_system_score_gemma":0.005390214,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7393108,"about_ca_topic_score_gemma":0.8442613,"domain_scores_codex":[0.9994944,0.0001570043,0.00002525879,0.00003818265,0.0001584208,0.0001266734],"domain_scores_gemma":[0.9975781,0.0005776586,0.0006542422,0.00007764182,0.0003637926,0.0007485138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001091365,0.00009248102,0.4883816,0.00007364417,0.00003537063,0.0006523604,0.4928739,0.0005533093,0.00149949,0.002660676,0.002615679,0.01045249],"study_design_scores_gemma":[0.000004199052,0.00004993863,0.6465641,0.00006475192,0.00001151904,0.00006229436,0.3474565,0.0005335255,0.0001747875,0.000248867,0.004804219,0.0000250858],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966581,0.00003661119,0.00003262228,0.0003140144,0.000002154058,0.000003405822,0.00002765113,0.000001329283,0.002924171],"genre_scores_gemma":[0.9992585,0.00006212565,0.00002314986,0.00001960349,0.000001036507,0.000002561423,0.00002112439,0.000001049452,0.0006108725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2606892,"threshold_uncertainty_score":0.5244489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287978966625334,"score_gpt":0.3200930459111939,"score_spread":0.3072132562449405,"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."}}