{"id":"W4388088994","doi":"10.1029/2023gl105344","title":"Steady‐State Bedrock Channel Width","year":2023,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bedrock; Bed load; Geology; Scaling; Sediment; Hydrology (agriculture); Geomorphology; Erosion; Flux (metallurgy); Channel (broadcasting); Drainage basin; Sediment transport; Grain size; Steady state (chemistry); Geotechnical engineering; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002312911,0.0001860623,0.0002022856,0.0002107221,0.0001935419,0.0007563928,0.0006232588,0.0004238244,0.001822669],"category_scores_gemma":[0.001047359,0.0002364179,0.0004298759,0.0001950786,0.0004319608,0.000766322,0.0002659738,0.0002675494,0.0002514285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007256666,"about_ca_system_score_gemma":0.000534134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007138834,"about_ca_topic_score_gemma":0.00482601,"domain_scores_codex":[0.9999166,0.000012513,0.000003986451,0.0000340542,0.00001203133,0.00002088727],"domain_scores_gemma":[0.9997588,0.00008714113,0.00004558036,0.00003437765,0.00005352475,0.00002071906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00002904368,0.00002986961,0.01326535,0.00001797282,0.00002174659,0.00005175759,0.00005357276,0.9700516,0.003755927,0.00850845,0.0003215978,0.003893099],"study_design_scores_gemma":[0.00001045061,0.00003305737,0.005513374,0.000008748135,0.00001276564,0.00002892626,0.00004003422,0.9879985,0.001192785,0.004643967,0.0005044683,0.00001296194],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9196013,0.0001121407,0.06899349,0.0001608448,0.00001711051,0.00001979575,0.0004925588,0.0002208391,0.01038204],"genre_scores_gemma":[0.9970107,0.00003715153,0.001456819,0.000014186,0.00000202771,0.00001686413,0.0001354719,0.00001620132,0.001310546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007138834,"threshold_uncertainty_score":0.01419461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03461937196898018,"score_gpt":0.302957868090073,"score_spread":0.2683384961210928,"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."}}