{"id":"W2135203902","doi":"10.1111/j.1753-318x.2010.01062.x","title":"Planning for climate change in a flood‐prone community: municipal barriers to policy action and the use of visualizations as decision‐support tools","year":2010,"lang":"en","type":"article","venue":"Journal of Flood Risk Management","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Flood myth; Climate change; Context (archaeology); Environmental planning; Environmental resource management; Coastal flood; Legitimacy; Futures contract; Action (physics); Citizen journalism; Business; Computer science; Political science; Politics; Environmental science; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002269353,0.0001624349,0.0002953182,0.000444794,0.0003704437,0.0001243692,0.0004107212,0.00005203944,0.0001219979],"category_scores_gemma":[0.0003932003,0.0001164242,0.0001039915,0.000513682,0.0001268564,0.0006616727,0.000644081,0.0003639111,0.000007810834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008376197,"about_ca_system_score_gemma":0.00001514433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001613274,"about_ca_topic_score_gemma":0.001852838,"domain_scores_codex":[0.9983057,0.0001987804,0.0006110726,0.0001498219,0.0004348196,0.0002997488],"domain_scores_gemma":[0.9986687,0.0002907856,0.0004688452,0.00036362,0.00002793788,0.0001801169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004070356,0.001491542,0.1512362,0.0003553766,0.0008662854,0.000069687,0.04671051,0.08478943,0.0007862011,0.03270316,0.008710728,0.6682106],"study_design_scores_gemma":[0.02132474,0.003062073,0.5916564,0.0006437226,0.001447605,0.00005448301,0.0257194,0.04354136,0.0004619854,0.01018385,0.3009323,0.0009720621],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896851,0.00002843507,0.006421573,0.0009587323,0.0003200489,0.001446613,0.00001928186,0.00001057413,0.001109644],"genre_scores_gemma":[0.9721674,0.001564886,0.02508289,0.0008383781,0.00009931251,0.0001189417,0.000004991688,0.00002226847,0.0001008948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6672385,"threshold_uncertainty_score":0.474764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06463856711111347,"score_gpt":0.3679643552284949,"score_spread":0.3033257881173814,"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."}}