{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001364658,0.0001180093,0.0001686143,0.0001244788,0.0002629263,0.00002262108,0.0005636929,0.00008466034,0.000531578],"category_scores_gemma":[0.00001618814,0.00006860714,0.00002471376,0.0001469053,0.0002887496,0.00007117446,0.00006693367,0.0004083839,0.00001416068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005235219,"about_ca_system_score_gemma":0.00008615515,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9904431,"about_ca_topic_score_gemma":0.9991909,"domain_scores_codex":[0.9982454,0.000118684,0.0002349649,0.0002742778,0.0005681183,0.0005585149],"domain_scores_gemma":[0.9995252,0.00004180438,0.00004484399,0.0003113327,0.00001130869,0.0000655031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003145945,0.0001054567,0.9639193,0.000008868165,0.000006470386,0.00006691537,0.02972571,0.004888041,0.000749575,0.000001167074,0.00004194373,0.00017193],"study_design_scores_gemma":[0.0007305588,0.0002225329,0.9922271,0.00004752437,0.000001297839,6.61746e-7,0.0007014261,0.0004598223,0.004179042,0.0002146743,0.001111459,0.0001039171],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971958,0.00001955591,3.944081e-7,0.0009512915,0.00001776279,0.0003312874,0.000009253124,0.00000285554,0.001471761],"genre_scores_gemma":[0.9983461,0.00001071829,0.000001514263,0.00001788656,0.00001284779,0.00004641687,0.00001831571,0.00001026395,0.001535868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02902428,"threshold_uncertainty_score":0.5820407,"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."}}