{"id":"W2070846871","doi":"10.1016/j.coldregions.2012.05.006","title":"Modelling ice cover formation of a lake–river system with exceptionally high flows (Lake St. Martin and Dauphin River, Manitoba)","year":2012,"lang":"en","type":"article","venue":"Cold Regions Science and Technology","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"KGS Group (Canada); Environment and Climate Change Canada; University of Saskatchewan","funders":"U.S. Army Corps of Engineers; Manitoba Hydro","keywords":"Hydrology (agriculture); Flooding (psychology); Flood myth; Shelf ice; Water level; Shore; Environmental science; Drainage basin; Channelized; Flood stage; Geology; Oceanography; 100-year flood; Geography; Arctic ice pack; Sea ice","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003537095,0.0001019178,0.0001425362,0.0002489487,0.0004045558,0.00002472916,0.0001842246,0.0000873777,0.00002269669],"category_scores_gemma":[0.00001925013,0.00007678977,0.00001145875,0.0006167332,0.001449936,0.0007647867,0.0000438174,0.0001140767,0.0000120537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001142829,"about_ca_system_score_gemma":0.00007496694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002195999,"about_ca_topic_score_gemma":0.002962502,"domain_scores_codex":[0.9990404,0.00001605241,0.0001573889,0.0002014806,0.0002773193,0.0003074147],"domain_scores_gemma":[0.9994412,0.00004422824,0.0001131962,0.0001628365,0.0001491843,0.00008937755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009809672,0.00009229769,0.8398876,0.0002843602,0.00003362105,0.00002229211,0.001813391,0.01332711,0.0003385721,0.1314455,0.000382928,0.01227431],"study_design_scores_gemma":[0.0007907258,0.0003995337,0.06686851,0.0002136973,0.00007880275,0.0005849428,0.005290912,0.9159414,0.0001253416,0.002303651,0.006990302,0.0004121625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9644004,0.0001044253,0.03433507,0.0004179699,0.00009013528,0.0001810311,0.00004772504,0.00005298224,0.0003703382],"genre_scores_gemma":[0.9942043,0.0001211603,0.005534744,0.0000413021,0.00002495556,0.000002959716,0.00001906179,0.000002317971,0.00004915774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9026143,"threshold_uncertainty_score":0.5342348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120506140027751,"score_gpt":0.180444383360813,"score_spread":0.1692393219605355,"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."}}