{"id":"W4313389015","doi":"10.3390/w15010176","title":"Effects of Submerged Vegetation Arrangement Patterns and Density on Flow Structure","year":2023,"lang":"en","type":"article","venue":"Water","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Vegetation (pathology); Flume; Turbulence; Turbulence kinetic energy; Flow velocity; Geology; Flow (mathematics); Hydrology (agriculture); Environmental science; Atmospheric sciences; Mechanics; Geotechnical engineering; Physics","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":[0.0001292107,0.000215423,0.0001642926,0.0001738757,0.0001644975,0.0001828857,0.0001289619,0.0001270932,0.0004596644],"category_scores_gemma":[0.0003452664,0.0001413241,0.0001311084,0.00007398721,0.0002673778,0.0001893812,0.0002770712,0.0001794956,0.00005146719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001144159,"about_ca_system_score_gemma":0.0001132448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008707441,"about_ca_topic_score_gemma":0.001755467,"domain_scores_codex":[0.9998889,0.00002228484,0.000007536087,0.00002507984,0.00002489271,0.00003133826],"domain_scores_gemma":[0.999762,0.00007851697,0.00004871047,0.00001911501,0.00003059955,0.00006102778],"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":[0.0006319711,0.0002269761,0.08838994,0.00007646756,0.00003470388,0.0003668543,0.0002785809,0.003590935,0.8971379,0.0001070593,0.00005223225,0.009106405],"study_design_scores_gemma":[0.00004053022,0.002566744,0.8774724,0.00001494818,0.00005639609,0.0003557191,0.0007608438,0.0162207,0.1020154,0.000139585,0.0003228759,0.00003377126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997918,0.00001022482,0.0001236482,0.000001362385,6.77208e-7,0.000001550285,0.000006138113,0.000002192541,0.00006231954],"genre_scores_gemma":[0.999685,0.00001264518,0.000222376,0.000003372662,4.740333e-7,0.000002844336,0.0000144797,7.8224e-7,0.0000579654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008707441,"threshold_uncertainty_score":0.001731396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004090951931035718,"score_gpt":0.1843978259903482,"score_spread":0.1803068740593124,"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."}}