{"id":"W1945653003","doi":"10.1029/2004wr003777","title":"Hydraulic geometry of secondary channels of lower Fraser River, British Columbia, from acoustic Doppler profiling","year":2005,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hydraulics; Geology; Acoustic Doppler current profiler; Geometry; Channel (broadcasting); Scaling; Hydrology (agriculture); Doppler effect; Geomorphology; Geotechnical engineering; Physics; Engineering; Oceanography; Current (fluid); Telecommunications; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008257495,0.0001089904,0.0002794347,0.00009007497,0.0001975989,0.00005514484,0.0005511281,0.0001826873,0.03333673],"category_scores_gemma":[0.00003265322,0.0001188784,0.00007485723,0.0003233716,0.001086274,0.0002547935,0.0002816758,0.0004769583,0.00035709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004656292,"about_ca_system_score_gemma":0.00001492517,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02574186,"about_ca_topic_score_gemma":0.009631906,"domain_scores_codex":[0.99755,0.0001366202,0.0003885618,0.0004569308,0.0008521748,0.0006157574],"domain_scores_gemma":[0.9993284,0.0001221941,0.00005419604,0.0003128646,0.00004478652,0.0001375416],"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":[0.0005095712,0.001608082,0.6681922,0.0004299252,0.0002524789,0.0003149561,0.01068187,0.02881753,0.2477109,7.72235e-7,0.01073906,0.03074259],"study_design_scores_gemma":[0.003806247,0.001304173,0.1524146,0.0003186842,0.00009865767,0.00003084269,0.0009436717,0.004815212,0.6140958,0.001811692,0.2193747,0.0009857399],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952627,0.0003544205,0.00004098742,0.0001126081,0.00005597359,0.0002820906,0.00007675991,0.0000235901,0.0037908],"genre_scores_gemma":[0.9958556,0.00006453494,0.0002655504,0.000100413,0.000105444,0.00002829274,0.00005679762,0.0000227502,0.00350067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5157776,"threshold_uncertainty_score":0.9807458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661203421758602,"score_gpt":0.2527518574689221,"score_spread":0.2361398232513361,"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."}}