{"id":"W2162200143","doi":"10.1029/2005wr004707","title":"Experiments on the effect of hydrograph characteristics on vertical grain sorting in gravel bed rivers","year":2006,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":190,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of British Columbia","funders":"","keywords":"Hydrograph; Sorting; Snowmelt; Hydrology (agriculture); Sediment; STREAMS; Geology; Environmental science; Surface runoff; Snow; Geotechnical engineering; Geomorphology; Mathematics","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":[0.001513832,0.0001285908,0.0001724336,0.0001288461,0.000202482,0.00002040863,0.0003624212,0.00008622769,0.0006179623],"category_scores_gemma":[0.00005152721,0.00006941905,0.00005500664,0.0002546808,0.0006763607,0.00004180153,0.00009552429,0.0003944662,0.0002338333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004810597,"about_ca_system_score_gemma":0.000001969718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005797863,"about_ca_topic_score_gemma":0.00004300645,"domain_scores_codex":[0.9977519,0.0004267113,0.0002545845,0.000299579,0.0007180205,0.0005491847],"domain_scores_gemma":[0.9993971,0.0002952733,0.00002029725,0.0002271971,0.000005805044,0.00005433066],"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":[0.001048098,0.0003235,0.8800857,0.00003513162,0.00001943121,0.0001037806,0.003428264,0.0005926827,0.1127077,0.0001007741,0.0001855338,0.001369406],"study_design_scores_gemma":[0.0008607685,0.001397082,0.1463072,0.00006080198,0.000007157598,0.000001305032,0.00007758409,0.0006427804,0.8469589,0.0005257403,0.003005062,0.0001555893],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937909,0.000009046885,0.000001836096,0.0003571783,0.00002094412,0.0002957729,0.000002215483,0.0000131619,0.005508979],"genre_scores_gemma":[0.9996696,0.000003373897,0.000004939787,0.00005176307,0.00002227999,0.00005224789,0.00001218109,0.00001176596,0.0001719156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7342513,"threshold_uncertainty_score":0.6766254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02146894418140703,"score_gpt":0.2886602872726232,"score_spread":0.2671913430912161,"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."}}