{"id":"W1509504566","doi":"10.1002/hyp.9929","title":"From soil aggregates to riverine flocs: a laboratory experiment assessing the respective effects of soil type and flow shear stress on particles characteristics","year":2013,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Flume; Soil water; Shear stress; Flocculation; Geology; Internal erosion; Geotechnical engineering; Soil science; Particle size; Particle (ecology); Particle-size distribution; Erosion; Environmental science; Hydrology (agriculture); Materials science; Flow (mathematics); Geomorphology; Mechanics; Composite material","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":[0.00008737679,0.0001617424,0.0002309809,0.000009026049,0.0001603327,0.00008862608,0.0001707328,0.00008415042,0.0001963523],"category_scores_gemma":[0.000355353,0.00005331533,0.0000253946,0.0003121352,0.000150387,0.0001112214,0.00005758667,0.000110457,0.00003126742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001042291,"about_ca_system_score_gemma":0.00001376808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002677974,"about_ca_topic_score_gemma":0.00004431927,"domain_scores_codex":[0.9989652,0.00008623256,0.0001989623,0.0003132074,0.0002212143,0.0002152062],"domain_scores_gemma":[0.9988754,0.0006739922,0.0000803043,0.00006912408,0.0001787784,0.000122378],"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":[0.0003236596,0.000986928,0.04117279,0.0001338238,0.00006341488,0.00003045295,0.002082536,0.0002121782,0.9124109,0.00005299216,0.0005297632,0.04200057],"study_design_scores_gemma":[0.0002673854,0.001464919,0.5611104,0.0001998049,0.00002745421,6.992738e-7,0.0008829024,0.0008983345,0.4336596,0.0006324492,0.0006108423,0.0002451095],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974673,0.0005541823,0.000003754566,0.00146626,0.00008469909,0.0002754724,0.00002967384,0.00005962584,0.00005899813],"genre_scores_gemma":[0.9987777,0.0001548713,0.00006905349,0.0007507844,0.0001482963,0.0000647796,0.00002033251,0.000001663401,0.0000124728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5199376,"threshold_uncertainty_score":0.2174136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413724641414101,"score_gpt":0.2347739701418081,"score_spread":0.220636723727667,"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."}}