{"id":"W3049246292","doi":"10.1016/j.ijsrc.2020.08.004","title":"A new portable in situ flume for measuring critical shear stress on river beds","year":2020,"lang":"en","type":"article","venue":"International Journal of Sediment Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Flume; Particle image velocimetry; Geology; Geotechnical engineering; Shear stress; Sediment; Calibration; Shear (geology); Wave flume; Flow (mathematics); Geomorphology; Materials science; Mechanics; Petrology; Optics; Wave propagation; Turbulence","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009403756,0.00008506817,0.000146447,0.0001373845,0.00005736418,0.00003766376,0.0005478247,0.00006186502,0.002134474],"category_scores_gemma":[0.0002918761,0.00007432459,0.00006727236,0.0001580847,0.0001322238,0.0003348277,0.00007791139,0.0004453275,0.00009272104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001822,"about_ca_system_score_gemma":0.00009191292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009286261,"about_ca_topic_score_gemma":0.00002930603,"domain_scores_codex":[0.997685,0.0000573834,0.0003503893,0.0001944262,0.001417984,0.0002948903],"domain_scores_gemma":[0.9992581,0.0002665387,0.00005478388,0.00005826001,0.0001212469,0.000241053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01458838,0.00422982,0.5142289,0.0002633629,0.000854522,0.004507369,0.02034515,0.09063009,0.1547551,0.009220063,0.09920923,0.08716802],"study_design_scores_gemma":[0.01816559,0.01009376,0.1759228,0.001343619,0.0001169866,0.000175495,0.001683788,0.009989611,0.5029646,0.02865645,0.2496328,0.001254584],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9405333,0.0001917126,0.006161514,0.04509309,0.0005271299,0.0003058298,0.00001529442,0.00001285114,0.007159305],"genre_scores_gemma":[0.9971333,0.00003979773,0.001626367,0.0006484365,0.0003352422,0.000005815285,0.000003850512,0.000008783775,0.0001983991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3482095,"threshold_uncertainty_score":0.9987777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07834292846717385,"score_gpt":0.3657081723715246,"score_spread":0.2873652439043508,"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."}}