{"id":"W2153808056","doi":"10.1002/esp.1074","title":"Measurement of the spatial distribution of fluvial bedload transport velocity in both sand and gravel","year":2004,"lang":"en","type":"article","venue":"Earth Surface Processes and Landforms","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Ottawa","funders":"","keywords":"Bed load; Geology; Geomorphology; Fluvial; Hydrology (agriculture); Hyperconcentrated flow; Spatial distribution; Sediment; Sediment transport; Geotechnical engineering; Remote sensing; Structural basin","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":[0.0002694147,0.00009874474,0.0001638661,0.000008211747,0.00007520012,0.000003599541,0.00007800454,0.00006160254,0.00004230739],"category_scores_gemma":[0.00001267466,0.00006070266,0.00002022426,0.00015723,0.000256877,0.0001277797,0.00001943503,0.00008706729,6.30592e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001205232,"about_ca_system_score_gemma":0.00004849434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001680502,"about_ca_topic_score_gemma":0.006144555,"domain_scores_codex":[0.9992092,0.000008670269,0.0002151039,0.0001634133,0.0002577198,0.0001459274],"domain_scores_gemma":[0.9997892,0.000008005594,0.00007759085,0.00006986273,0.00001632197,0.00003901259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001208317,0.0001106169,0.9920394,0.0002559191,0.000009838437,0.000001185491,0.001070598,0.002723791,0.002421185,0.00001700375,0.000001130033,0.001228447],"study_design_scores_gemma":[0.0009276097,0.00009760633,0.9552275,0.0000768157,0.00001697529,0.000002518965,0.00004069829,0.00004561952,0.04279833,0.0005230025,0.0001594092,0.00008390596],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980031,0.000418044,0.001057786,0.0001273002,0.00002337746,0.0001621447,0.00002697197,0.000005757836,0.0001755149],"genre_scores_gemma":[0.9996906,0.0002101094,0.00005564301,0.0000184224,0.000004572701,0.000002676273,0.000008075174,0.00000334422,0.000006569883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04037714,"threshold_uncertainty_score":0.3428806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007391914494990359,"score_gpt":0.1891451843671223,"score_spread":0.1817532698721319,"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."}}