{"id":"W4223986104","doi":"10.1002/hyp.14579","title":"Broad scale assessment of key drivers of streamflow generation in urban and urbanizing rivers","year":2022,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Impervious surface; Environmental science; Hydrology (agriculture); Streamflow; Surface runoff; Drainage basin; Watershed; Discharge; Urban stream; STREAMS; Geology; Geography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001971631,0.00008650748,0.0001475201,0.00006078131,0.0001165145,0.000006519655,0.0001704418,0.00002848459,0.0009385046],"category_scores_gemma":[0.00002514219,0.00008079698,0.0000210782,0.000372844,0.0002401305,0.0001647944,0.0003881647,0.0001033577,0.000002991694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001255768,"about_ca_system_score_gemma":0.0000127884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002346246,"about_ca_topic_score_gemma":0.0001581221,"domain_scores_codex":[0.9990114,0.00007066212,0.0002097171,0.0002594257,0.0002918415,0.0001569725],"domain_scores_gemma":[0.9997027,0.00003164013,0.0001127627,0.0001097324,0.000007635417,0.0000355296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001286782,0.000318097,0.9240513,0.00004491429,0.00001058472,0.000005273998,0.0009976063,0.06107542,0.01152324,0.0001589571,0.001500221,0.0003015086],"study_design_scores_gemma":[0.00166559,0.001358549,0.8881729,0.00001851937,0.00009118841,0.000006048993,0.0009715218,0.09112308,0.004726885,0.00195515,0.009389734,0.0005208441],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937441,0.00007046857,0.0002891076,0.0001101832,0.00002325649,0.0001791344,0.00001455196,0.00001707533,0.005552124],"genre_scores_gemma":[0.9979151,0.00002244807,0.001805754,0.00005633308,0.000006829019,0.00003185229,0.00001808383,0.000004561084,0.0001389679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03587843,"threshold_uncertainty_score":0.9999748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796069705378631,"score_gpt":0.2278684249266096,"score_spread":0.2099077278728233,"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."}}