{"id":"W2757961352","doi":"10.1002/2016wr020288","title":"The Impact of Urbanization on Temporal Changes in Sediment Transport in a Gravel Bed Channel in Southern Ontario, Canada","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Magnitude (astronomy); Bed load; Hydrology (agriculture); Sediment; Sediment transport; TRACER; STREAMS; Environmental science; Channel (broadcasting); Geology; Geomorphology; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001304775,0.0001293445,0.000146512,0.0006096907,0.001191675,0.0008456929,0.0003060525,0.0001553788,0.0009886893],"category_scores_gemma":[0.0005277621,0.0001365618,0.0001353335,0.001091201,0.0006135075,0.0001920187,0.0003533908,0.0001722569,0.00009164244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01214587,"about_ca_system_score_gemma":0.007205455,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9817215,"about_ca_topic_score_gemma":0.9944677,"domain_scores_codex":[0.9998129,0.00001277378,0.000007381882,0.00003392232,0.00007463185,0.00005840187],"domain_scores_gemma":[0.9995504,0.00004418446,0.00007301339,0.00001166504,0.0002283243,0.00009235921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001394953,0.00003349978,0.9839565,0.00002959971,0.00003459319,0.0003507342,0.002066976,0.001093071,0.004208851,0.0001950898,0.0004895197,0.007402136],"study_design_scores_gemma":[0.000001580689,0.000008907244,0.9982669,0.0000027676,0.000003109525,0.00001249413,0.000766882,0.0004221171,0.0000918754,0.000008361605,0.000412324,0.000002691644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989397,0.00002985078,0.00004517593,0.00002779958,8.144076e-7,0.000005534328,0.0002652838,0.000003759105,0.0006820874],"genre_scores_gemma":[0.998976,0.00004547947,0.00007550487,0.000006899806,6.688831e-7,0.000003559569,0.0002219425,0.000001376558,0.000668542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01827848,"threshold_uncertainty_score":0.08812493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03044805690562044,"score_gpt":0.281952368359719,"score_spread":0.2515043114540986,"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."}}