{"id":"W1595369099","doi":"10.1002/9781119952497.ch33","title":"Channel Response and Recovery to Changes in Sediment Supply","year":2012,"lang":"en","type":"other","venue":"","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flume; Channel (broadcasting); Sediment; Sediment transport; Hydrology (agriculture); STREAMS; Environmental science; Geology; Sedimentary budget; Geomorphology; Geotechnical engineering; Computer science; Flow (mathematics); Mechanics","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":["insufficient_payload"],"category_scores_codex":[0.0003285303,0.0001852504,0.0001932866,0.0001446919,0.00002109223,0.000005791775,0.000119995,0.0002331068,0.05932389],"category_scores_gemma":[0.000007969385,0.0001594462,0.00001465421,0.0001218462,0.0000713341,0.00004774864,0.00007506004,0.0001049606,0.001179903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004082962,"about_ca_system_score_gemma":0.000005874986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005766039,"about_ca_topic_score_gemma":0.006380659,"domain_scores_codex":[0.9990858,0.00004601487,0.00009848522,0.0003240799,0.0001337428,0.0003118978],"domain_scores_gemma":[0.9996468,0.00003492579,0.00003246433,0.0001520507,7.136701e-7,0.0001330813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001172061,0.0003239611,0.0428009,0.0001042173,0.0000532283,0.00007150471,0.001811117,0.0001085362,0.001380112,0.00002372842,0.9422189,0.009931726],"study_design_scores_gemma":[0.0002183994,0.0001571603,0.01921882,0.00005320115,0.00001218573,0.000003586802,0.00002582568,0.000003202984,0.0005859621,0.00003823914,0.9794277,0.0002556952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05585714,0.001548009,0.0001275006,0.007276754,0.0005414939,0.001058445,0.00006302432,0.0002043595,0.9333233],"genre_scores_gemma":[0.0765897,0.000484939,0.0003593213,0.003008449,0.00009162146,0.00009244656,0.00001758874,0.0001269759,0.919229],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05814399,"threshold_uncertainty_score":0.9995978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008965883605255414,"score_gpt":0.2158532732857086,"score_spread":0.2068873896804532,"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."}}