{"id":"W2761221522","doi":"","title":"How grain size ratio and fine sediment feed concentration influence channel slope evolution due to grain size sorting in bimodal mixtures","year":2014,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Grain size; Sorting; Channel (broadcasting); Sediment; Materials science; Geology; Mineralogy; Metallurgy; Geomorphology; Computer science","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":[0.000142535,0.0001721223,0.0001711807,0.0003046917,0.0001506322,0.000637821,0.0001266374,0.000203969,0.00113373],"category_scores_gemma":[0.0005343882,0.0002575768,0.0001821727,0.0001674851,0.0002064837,0.0002831176,0.0002708138,0.0002110806,0.0001729569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003048463,"about_ca_system_score_gemma":0.0001693014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003738371,"about_ca_topic_score_gemma":0.004293525,"domain_scores_codex":[0.9999102,0.000008203951,0.000007450892,0.00002831304,0.00002049155,0.00002522319],"domain_scores_gemma":[0.9997053,0.00009815552,0.00008989999,0.00001420054,0.00004734122,0.00004520106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001215114,0.0001071432,0.04561903,0.00004599247,0.00005472669,0.0001740183,0.0001196385,0.007779241,0.9364051,0.0001456025,0.0001175231,0.008216927],"study_design_scores_gemma":[0.00007287896,0.001024002,0.4977034,0.00001444782,0.0001662552,0.0002038313,0.0003877579,0.08586172,0.4132365,0.0002810254,0.0009737381,0.00007451017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991702,0.00004422864,0.000417403,0.000007651975,0.000002409427,0.000005250642,0.00004024895,0.00002431387,0.0002883228],"genre_scores_gemma":[0.9994867,0.00002686605,0.0001868056,0.000008269688,9.543836e-7,0.000003463499,0.00004404072,0.000008021634,0.000235009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003738371,"threshold_uncertainty_score":0.007433236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009074534452817223,"score_gpt":0.2020216096264677,"score_spread":0.1929470751736505,"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."}}