{"id":"W2047769893","doi":"10.1163/22116001-90000267","title":"Defining and Adapting to Coastal Hazards in Atlantic Canada: Facing the Challenge of Rising Sea Levels, Storm Surges, and Shoreline Erosion in a Changing Climate","year":2005,"lang":"en","type":"article","venue":"Ocean Yearbook Online","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Geological Survey of Canada; Bedford Institute of Oceanography; Canadian Hydrographic Service","funders":"","keywords":"Storm surge; Coastal hazards; Coastal flood; Natural hazard; Shore; Climate change; Coastal erosion; Storm; Bathymetry; Flooding (psychology); Terrain; Digital elevation model; Geographic information system; Environmental science; Hazard; Global warming; Coastal management; Elevation (ballistics); Geology; Flood myth; Oceanography; Environmental resource management; Remote sensing; Geography; Sea level rise; Cartography","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":[0.0005396998,0.0001140894,0.0001902518,0.0002366455,0.0000796939,0.00001966071,0.0000662536,0.00003049812,0.00002889675],"category_scores_gemma":[0.00006063241,0.00008959156,0.0000128897,0.000272272,0.00002785018,0.00008670721,0.0001079264,0.0001653945,4.990565e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001063822,"about_ca_system_score_gemma":0.00008164512,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3592979,"about_ca_topic_score_gemma":0.9901614,"domain_scores_codex":[0.9990241,0.00003257599,0.0002487143,0.0001920527,0.000156992,0.0003455652],"domain_scores_gemma":[0.9996541,0.0001154195,0.00005735319,0.00008076697,0.00002088666,0.00007145834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004586181,0.0000158852,0.8906741,0.00005348474,0.000003959791,0.00002425262,0.0008828089,0.003687714,0.00002507198,0.00006655741,0.00002994899,0.1044904],"study_design_scores_gemma":[0.0003466152,0.00006548745,0.596408,0.000283432,0.000006645402,0.00001528539,0.001154359,0.4008102,0.000006085465,0.00001575658,0.0007264529,0.0001616452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977679,0.0005664259,0.00001636544,0.0009171709,0.00003706545,0.0001090853,0.0002300732,0.000008535093,0.0003474008],"genre_scores_gemma":[0.9987555,0.0003688827,0.0005895637,0.0001007689,0.00004555643,1.562858e-7,0.0001091826,0.000005363846,0.00002504807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6308635,"threshold_uncertainty_score":0.6449686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01260009093288229,"score_gpt":0.209761990960924,"score_spread":0.1971619000280417,"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."}}