{"id":"W2023178551","doi":"10.4319/lom.2010.8.0678","title":"Estimation of critical shear stress from cohesive strength meter‐derived erosion thresholds","year":2010,"lang":"en","type":"article","venue":"Limnology and Oceanography Methods","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Queen Mary University of London","keywords":"Flume; Erosion; Geotechnical engineering; Shear stress; Calibration; Sediment; Sediment transport; Metre; Critical resolved shear stress; Geology; Shear (geology); Environmental science; Flow (mathematics); Materials science; Geomorphology; Shear rate; Statistics; Mathematics; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003296371,0.0001538889,0.0002784808,0.00003911169,0.0001615318,0.00001849751,0.000161317,0.0003160084,0.0003205936],"category_scores_gemma":[0.0001260915,0.00006740339,0.0001213521,0.00023016,0.0004889466,0.0001116492,0.00003762992,0.0002858436,0.000001564853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001321279,"about_ca_system_score_gemma":0.000004212163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008853863,"about_ca_topic_score_gemma":0.0001064811,"domain_scores_codex":[0.9988411,0.000234873,0.0002677104,0.0003181361,0.0001238976,0.0002142748],"domain_scores_gemma":[0.998531,0.00114405,0.00007229559,0.00008687612,0.00005246399,0.0001133464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00009065194,0.00020267,0.1164628,0.00001180917,0.00002815837,0.000002527145,0.0002168128,0.000002479661,0.7745101,0.001735237,0.00002159954,0.1067152],"study_design_scores_gemma":[0.0002579876,0.0003636138,0.6514502,0.00002104839,0.00007359838,0.000003266473,0.0003778023,0.0005102203,0.3408478,0.005781195,0.0001390627,0.0001741773],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970714,0.0002483368,0.001317877,0.0005785806,0.0004167107,0.0001028527,0.00009486849,0.00006253629,0.0001068353],"genre_scores_gemma":[0.9521435,0.0000927406,0.04743432,0.000154388,0.00006117177,0.000006176002,0.0001019698,0.000001226259,0.000004489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5349874,"threshold_uncertainty_score":0.3510275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02145679575227222,"score_gpt":0.3034486975403802,"score_spread":0.281991901788108,"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."}}