{"id":"W2134047137","doi":"10.1002/esp.1658","title":"Defining and measuring braiding intensity","year":2008,"lang":"en","type":"article","venue":"Earth Surface Processes and Landforms","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":267,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Parks Canada","keywords":"Sinuosity; Flume; Channel (broadcasting); Braid; Statistics; Hydrograph; Hydrology (agriculture); Scale (ratio); Mathematics; Sampling (signal processing); Sensitivity (control systems); Geometry; Geology; Flow (mathematics); Computer science; Geotechnical engineering; Geography; Cartography","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":[0.0007698001,0.0003193531,0.0003328057,0.002597101,0.0004067514,0.001282804,0.0004755376,0.0002950392,0.002446203],"category_scores_gemma":[0.003656329,0.0002466777,0.000136801,0.001306074,0.00074322,0.0009417699,0.001151878,0.0003485513,0.0003131315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004095526,"about_ca_system_score_gemma":0.0002975619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001916278,"about_ca_topic_score_gemma":0.003068029,"domain_scores_codex":[0.9988335,0.0001752648,0.0001004096,0.0002183609,0.000509673,0.0001629564],"domain_scores_gemma":[0.9977462,0.0005750264,0.0005037053,0.0001705488,0.0008137686,0.0001907322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003935156,0.0001359382,0.7453966,0.0002639061,0.00011681,0.0002071444,0.002237053,0.007882331,0.0904476,0.004533488,0.0008582627,0.1475273],"study_design_scores_gemma":[0.00001461656,0.0002048464,0.9531816,0.00005787173,0.00004982983,0.0003120805,0.00142258,0.02110043,0.018192,0.002233617,0.003176771,0.00005370672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679856,0.00008596708,0.02080034,0.00001678128,0.000006614102,0.0001121459,0.0002875641,0.0001297839,0.01057517],"genre_scores_gemma":[0.9908125,0.00004795259,0.008094514,0.00001044022,0.000004394814,0.00004971988,0.0002427732,0.00002170813,0.0007159676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002597101,"threshold_uncertainty_score":0.00818336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01387954978152514,"score_gpt":0.1925225550690569,"score_spread":0.1786430052875317,"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."}}