{"id":"W3202166784","doi":"10.31223/x55033","title":"Grain shape effects in bed load sediment transport","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Army Research Laboratory; National Aeronautics and Space Administration","keywords":"Bed load; Sediment transport; Sediment; Flume; Drag; Grain size; Drag coefficient; Geology; Mechanics; Geotechnical engineering; Friction coefficient; Soil science; Environmental science; Materials science; Geomorphology; Physics; Flow (mathematics)","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":[0.000320716,0.0002684665,0.0002893936,0.0004867706,0.0004613342,0.0008971303,0.0003599586,0.0005885953,0.0007593824],"category_scores_gemma":[0.002543544,0.0003358307,0.0003841027,0.0003477663,0.0009322926,0.001000176,0.0004294125,0.0004061803,0.0001683892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001027135,"about_ca_system_score_gemma":0.0003306381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007680231,"about_ca_topic_score_gemma":0.004484485,"domain_scores_codex":[0.9998462,0.00001844273,0.000008406954,0.00004738693,0.00004410272,0.0000353404],"domain_scores_gemma":[0.9991978,0.0004166771,0.0001368559,0.0001185081,0.00008234678,0.00004783826],"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":[0.0008859211,0.0001975642,0.07357282,0.0002343492,0.00009115844,0.001383002,0.0007151779,0.4097826,0.4523037,0.02159112,0.001183301,0.03805918],"study_design_scores_gemma":[0.00003811863,0.0001606526,0.06929218,0.00001835398,0.00003753993,0.0002900511,0.0002008604,0.8227135,0.09678628,0.00919707,0.001170617,0.00009480451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774305,0.0003940489,0.01926529,0.0001660014,0.00004569256,0.00001915775,0.0001310151,0.0002167761,0.002331532],"genre_scores_gemma":[0.9989497,0.000088487,0.0006533582,0.00001164804,0.000002381614,0.000002340176,0.00002587108,0.0000177053,0.000248582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007680231,"threshold_uncertainty_score":0.01527107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007903110958036957,"score_gpt":0.2214287195300673,"score_spread":0.2135256085720304,"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."}}