{"id":"W2058805011","doi":"10.1029/2006jf000745","title":"Causes of rapid mixing at a junction of two large rivers: Río Paraná and Río Paraguay, Argentina","year":2008,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":155,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Tributary; Mixing (physics); Geology; Transect; Hydrology (agriculture); Mixing patterns; Secondary circulation; Geomorphology; Geography; Physics; Oceanography; Cartography","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":[0.0004101091,0.000274512,0.0003808904,0.0005349366,0.0009892536,0.0007449339,0.0004547793,0.0005706074,0.0009466197],"category_scores_gemma":[0.001149691,0.0002437678,0.0001921366,0.0005737274,0.0007554751,0.0002873375,0.001128568,0.0004884045,0.0001291488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00130733,"about_ca_system_score_gemma":0.000612987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07106473,"about_ca_topic_score_gemma":0.08921294,"domain_scores_codex":[0.9995982,0.00006189551,0.00002371223,0.0001244926,0.00008749501,0.0001042441],"domain_scores_gemma":[0.999467,0.00006326504,0.0002336906,0.00003416517,0.0000977501,0.0001042492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000717567,0.0001551813,0.8973367,0.0001193412,0.0001293637,0.005444275,0.005067984,0.002362809,0.06825332,0.002592323,0.0009674258,0.01685368],"study_design_scores_gemma":[0.00004493662,0.00008750199,0.9904012,0.00001337504,0.00004271507,0.0004326692,0.002503345,0.002232698,0.001751529,0.0002807494,0.002190324,0.00001886225],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969357,0.00008687104,0.0002401993,0.0001172037,0.000005794803,0.00001768258,0.00007500417,0.00002575501,0.002495696],"genre_scores_gemma":[0.9994791,0.00003480826,0.0001714055,0.00000903447,0.000003787096,0.00001251508,0.00006519053,0.000004057544,0.0002200871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07106473,"threshold_uncertainty_score":0.1413022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03450742040464071,"score_gpt":0.3041752470673322,"score_spread":0.2696678266626915,"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."}}