{"id":"W2528426286","doi":"10.1007/s10236-016-1003-6","title":"The effect of density stratification on the prediction of global storm surges","year":2016,"lang":"en","type":"article","venue":"Ocean Dynamics","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Dalhousie University","funders":"Environment and Climate Change Canada; Marine Environmental Observation Prediction and Response Network","keywords":"Tide gauge; Hindcast; Storm surge; Climatology; Baroclinity; Stratification (seeds); Environmental science; Surge; Standard deviation; Meteorology; Sea level; Storm; Geology; Oceanography; Geography; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002169089,0.00005522972,0.00007943779,0.000006805588,0.0001136957,0.00001271673,0.0001704249,0.00003743022,0.0000553549],"category_scores_gemma":[0.0001600161,0.00001945513,0.00004662781,0.0001049572,0.0002081245,0.00003966987,0.000006962575,0.00005878754,0.00001184516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001168743,"about_ca_system_score_gemma":0.00001671075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005568797,"about_ca_topic_score_gemma":0.006068702,"domain_scores_codex":[0.9992429,0.0001428964,0.0001358413,0.00009231557,0.0002600593,0.0001259841],"domain_scores_gemma":[0.9988543,0.0008390586,0.00005549881,0.0001769322,0.00003565542,0.00003854257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001314563,0.000004824119,0.9339265,0.000007235658,0.000008255752,2.755705e-7,0.000002951949,0.00003379176,0.00004270782,0.006223659,0.0001028385,0.05951555],"study_design_scores_gemma":[0.0000894765,0.000432258,0.9925856,0.000009873495,0.000004998712,8.674946e-7,0.00001147797,0.00493228,0.0003505164,0.00148879,0.00007167595,0.0000222042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976344,0.00002779416,0.0002511148,0.001112917,0.0001042884,0.0001123051,0.0001896888,0.000009029029,0.0005585352],"genre_scores_gemma":[0.9998605,0.00004490059,0.000006967074,0.000004773322,0.00002897499,2.193631e-7,0.00001421148,8.71489e-7,0.00003856688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05949334,"threshold_uncertainty_score":0.3386478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008775855735754715,"score_gpt":0.2132590581155074,"score_spread":0.2044832023797527,"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."}}