{"id":"W2106203089","doi":"10.1139/l04-117","title":"Maximum and mean velocity relationships in laboratory flumes with different cross-sectional shapes","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Birmingham","keywords":"Flume; Mathematics; Flow (mathematics); Flow velocity; Maximum flow problem; Mechanics; Channel (broadcasting); Open-channel flow; Geotechnical engineering; Geology; Geometry; Physics; Engineering; Telecommunications; Mathematical optimization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003736549,0.000198987,0.0003110876,0.0004145759,0.0003159239,0.0003134138,0.0001875959,0.0003530409,0.0007453475],"category_scores_gemma":[0.001414765,0.0001725173,0.0001556196,0.0002794634,0.0004852259,0.0004720749,0.0002169051,0.0004488683,0.0000872156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004799475,"about_ca_system_score_gemma":0.0002351022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003444786,"about_ca_topic_score_gemma":0.006659417,"domain_scores_codex":[0.9998372,0.00002388371,0.000008487266,0.00005882751,0.00003466285,0.00003697288],"domain_scores_gemma":[0.9991108,0.0005048609,0.0001066994,0.00003150855,0.0001921783,0.0000539495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000870781,0.0001165846,0.0213111,0.00009186388,0.00002335844,0.0000806461,0.0005079068,0.004396993,0.9625997,0.0002546145,0.0001408052,0.009605537],"study_design_scores_gemma":[0.00005923704,0.003698458,0.3433243,0.0000310164,0.0000849311,0.0002596545,0.0008773945,0.03464997,0.6156384,0.0003762375,0.000872777,0.0001276943],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981089,0.00006632738,0.001503086,0.000007143287,0.000002012076,0.00000643776,0.00008451077,0.00002852656,0.0001931488],"genre_scores_gemma":[0.9980411,0.00003846139,0.001478738,0.000006400483,0.000001117515,0.00002326929,0.000149602,0.000006428868,0.000254918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003444786,"threshold_uncertainty_score":0.006849468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008566541053847972,"score_gpt":0.1846328308110363,"score_spread":0.1760662897571883,"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."}}