{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000737191,0.0002151807,0.000218514,0.001148462,0.001037936,0.0007192074,0.0003101114,0.0001898752,0.002778556],"category_scores_gemma":[0.0004691845,0.0002084623,0.00009770739,0.001595318,0.0005244651,0.0002204157,0.0004597306,0.0002330754,0.0003972607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003857305,"about_ca_system_score_gemma":0.003338155,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9076678,"about_ca_topic_score_gemma":0.9744638,"domain_scores_codex":[0.999886,0.000003729129,0.000005166916,0.00003727502,0.00003363929,0.00003426722],"domain_scores_gemma":[0.9996778,0.00002602562,0.00003916033,0.00001624427,0.0001754365,0.00006537147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002223516,0.00005589767,0.9155944,0.00007877439,0.00002185951,0.0005656491,0.002483995,0.002828381,0.02151948,0.0004063032,0.002751447,0.05347144],"study_design_scores_gemma":[0.000002266205,0.000007387892,0.9978604,0.000005735781,0.000003287706,0.00003994877,0.0003065961,0.0008187281,0.0002685798,0.00002636281,0.0006555198,0.000005217599],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964055,0.00003288542,0.0001563147,0.00001794189,9.196673e-7,0.00001325559,0.001239889,0.00001745709,0.00211601],"genre_scores_gemma":[0.9966858,0.00006141749,0.0004245974,0.0000108507,8.217306e-7,0.00001478475,0.001112088,0.000007630678,0.00168199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09233224,"threshold_uncertainty_score":0.185752,"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."}}