{"id":"W3119083921","doi":"10.9753/icce.v36v.waves.23","title":"ENSEMBLE WAVE CLIMATE PROJECTIONS BASED ON CMIP5 MODELS","year":2020,"lang":"en","type":"article","venue":"Coastal Engineering Proceedings","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Storm; Shore; Climate change; Climatology; Environmental science; Term (time); Wave model; Scale (ratio); Climate model; Wave height; Wind wave; Meteorology; Geology; Geography; Oceanography; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.00056497,0.000543308,0.0002407445,0.0006862006,0.0002384787,0.0005797421,0.0006670182,0.0006423958,0.004671138],"category_scores_gemma":[0.001894912,0.0002413354,0.0005094347,0.0016948,0.0001177288,0.001257642,0.0003845385,0.0006818609,0.001631081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007187832,"about_ca_system_score_gemma":0.0008208424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03652062,"about_ca_topic_score_gemma":0.03062281,"domain_scores_codex":[0.9998647,0.00002810104,0.000008166834,0.00003608128,0.00003915447,0.00002379257],"domain_scores_gemma":[0.9995352,0.00007856447,0.0000488601,0.00008517793,0.0002098446,0.00004237932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000159119,0.0000648743,0.0184185,0.0001121685,0.0001625488,0.00008782205,0.00006852097,0.9079574,0.001312794,0.005897861,0.03465784,0.03110052],"study_design_scores_gemma":[0.00005879837,0.00002973313,0.01705337,0.00003470289,0.00005107098,0.00002552706,0.00008400642,0.9658282,0.0009732689,0.003756628,0.0120636,0.0000410554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6780056,0.0005316404,0.06605724,0.001670369,0.000480032,0.0001553092,0.1869678,0.003602577,0.06252942],"genre_scores_gemma":[0.8335286,0.0006173946,0.03754248,0.0001761992,0.00009289376,0.0003357755,0.1238516,0.0004582798,0.003396802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03652062,"threshold_uncertainty_score":0.0726161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02031741744658101,"score_gpt":0.1748530234945091,"score_spread":0.1545356060479281,"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."}}