{"id":"W4366599307","doi":"10.3390/w15081604","title":"Rivers under Ice: Evaluating Simulated Morphodynamics through a Riffle-Pool Sequence","year":2023,"lang":"en","type":"article","venue":"Water","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Canada Foundation for Innovation","keywords":"Beach morphodynamics; Geology; Riffle; Shear stress; Shear velocity; Hydrology (agriculture); Turbulence; Environmental science; Geomorphology; Geotechnical engineering; Mechanics; Sediment transport; Meteorology; Habitat; Sediment; Ecology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004348636,0.0003726013,0.0003054805,0.0003408187,0.0003266528,0.0004896141,0.0004450576,0.0005305659,0.0006335576],"category_scores_gemma":[0.001166011,0.0002029796,0.0004628962,0.0002421146,0.0003318745,0.0003475281,0.0003200159,0.0003092401,0.0000946323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006693795,"about_ca_system_score_gemma":0.0006775412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02458958,"about_ca_topic_score_gemma":0.02195368,"domain_scores_codex":[0.999894,0.00003440487,0.000008046591,0.00002368358,0.00001108308,0.00002865476],"domain_scores_gemma":[0.9995949,0.000210899,0.00004473739,0.00002989632,0.00005582146,0.00006393472],"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":[0.0001073694,0.00008932057,0.02247795,0.00001248694,0.00002813144,0.00008329564,0.00006476346,0.9728131,0.00108822,0.0001587064,0.0001231114,0.002953542],"study_design_scores_gemma":[0.00002641338,0.000159877,0.008550243,0.000004863507,0.0000130819,0.00001362942,0.00006680218,0.9901975,0.000776598,0.00007755422,0.0001056054,0.000007765314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983236,0.00001077639,0.001006108,0.00001822735,0.000003555019,0.00001088022,0.0001312783,0.00004911036,0.000446374],"genre_scores_gemma":[0.9985745,0.00001508994,0.0009789058,0.000007508237,0.000001466407,0.00001309774,0.0002315961,0.000008328013,0.0001694854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02458958,"threshold_uncertainty_score":0.04889292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0449334443926791,"score_gpt":0.3074942755281851,"score_spread":0.262560831135506,"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."}}