{"id":"W1977819274","doi":"10.1061/(asce)0887-381x(2003)17:1(18)","title":"Suitability of Dynamic Modeling for Flood Forecasting during Ice Jam Release Surge Events","year":2003,"lang":"en","type":"article","venue":"Journal of Cold Regions Engineering","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Surge; Flood myth; Channel (broadcasting); Geology; Routing (electronic design automation); Meteorology; Hydrology (agriculture); Environmental science; Geotechnical engineering; Geomorphology; Computer science; Telecommunications; Geography","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":[0.0006204633,0.0001226591,0.0002658815,0.0001397196,0.00009350849,0.00001093273,0.0001376687,0.00005693368,0.00001160833],"category_scores_gemma":[0.0005440494,0.0001101975,0.000186373,0.0001779515,0.00001604068,0.0002449164,0.000006274911,0.000198177,4.103765e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002433619,"about_ca_system_score_gemma":0.00009048478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003324336,"about_ca_topic_score_gemma":0.00003578169,"domain_scores_codex":[0.9988578,0.00002796577,0.0005176237,0.0001083781,0.0002093617,0.0002788799],"domain_scores_gemma":[0.9990714,0.0002851436,0.000237051,0.0001222548,0.0001571193,0.0001269855],"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":[0.00005157571,0.00003478688,0.02949129,0.0002365785,0.00005984471,0.00001369717,0.0001524257,0.9688932,0.0003118117,0.0002440373,0.000004040854,0.0005066986],"study_design_scores_gemma":[0.0005667848,0.00009080987,0.007059647,0.0002213099,0.00006023019,0.0002219747,0.000260813,0.9908206,0.0001575103,0.0002412168,0.0001570174,0.0001420905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8880075,0.000196368,0.1112448,0.00005211485,0.0003153417,0.0001155129,0.00001103499,0.00001476222,0.00004258635],"genre_scores_gemma":[0.9858102,0.00007795566,0.01400906,0.000005984267,0.00005343606,6.642172e-7,0.000002570209,0.00001086841,0.0000292295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0978028,"threshold_uncertainty_score":0.4493725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01485172673941018,"score_gpt":0.1992822720073402,"score_spread":0.18443054526793,"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."}}