{"id":"W1999571649","doi":"10.1002/esp.1797","title":"Promise, performance and current limitations of a magnetic Bedload Movement Detector","year":2009,"lang":"en","type":"article","venue":"Earth Surface Processes and Landforms","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada; University of British Columbia","funders":"","keywords":"Bed load; Flume; Geology; Detector; Sediment transport; Particle (ecology); Sediment; SIGNAL (programming language); Fluvial; Computation; Magnetic field; Computer science; Mechanics; Geomorphology; Physics; Flow (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009616602,0.0007443286,0.0009341443,0.001191328,0.0006402794,0.003103943,0.004324532,0.003458064,0.00582307],"category_scores_gemma":[0.01058556,0.0005995627,0.0003779803,0.0009062345,0.001392002,0.005019411,0.001290231,0.001364608,0.003466916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001539574,"about_ca_system_score_gemma":0.001109286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002231985,"about_ca_topic_score_gemma":0.001151514,"domain_scores_codex":[0.9967629,0.0008558981,0.0001395969,0.0008678788,0.001196334,0.0001774557],"domain_scores_gemma":[0.9914317,0.003720427,0.0003670745,0.0006018701,0.003442834,0.0004361011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005529705,0.0009834192,0.1089916,0.002781904,0.0004973682,0.0005303272,0.0006788981,0.0161016,0.215497,0.03304768,0.01949873,0.5958617],"study_design_scores_gemma":[0.0008147342,0.008415427,0.05601723,0.0009592338,0.0009835081,0.005184787,0.001444529,0.4064312,0.3167222,0.01878149,0.1834836,0.000762042],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3433256,0.02269915,0.5771552,0.01876011,0.001095048,0.0006053923,0.002102506,0.005983516,0.02827343],"genre_scores_gemma":[0.8485993,0.003709232,0.1351919,0.001579254,0.0005325856,0.0002469208,0.001716291,0.0002118169,0.008212529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009616602,"threshold_uncertainty_score":0.05085802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316239246853133,"score_gpt":0.2050860306169644,"score_spread":0.1919236381484331,"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."}}