{"id":"W2054530893","doi":"10.1002/rra.1457","title":"Quasi‐equilibrium conditions of urban gravel‐bed stream channels in southern Ontario, Canada","year":2010,"lang":"en","type":"article","venue":"River Research and Applications","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Floodplain; Flood myth; Hydrology (agriculture); Environmental science; Channel (broadcasting); Expansive; Stream bed; STREAMS; Stream restoration; Urbanization; Geology; Sediment; Geography; Geomorphology; Geotechnical engineering; Ecology; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001772925,0.00005860323,0.00008211195,0.00004288433,0.0001287795,0.000007298784,0.0001755465,0.00005070875,0.002121633],"category_scores_gemma":[0.000006734234,0.00005524101,0.0000109265,0.0002320563,0.0005899471,0.00006557079,0.00004538312,0.0002928951,0.00004074008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000441678,"about_ca_system_score_gemma":0.0001574102,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8763292,"about_ca_topic_score_gemma":0.9829876,"domain_scores_codex":[0.9992121,0.00001863696,0.0001239729,0.0001996793,0.0002138549,0.0002317893],"domain_scores_gemma":[0.9996036,0.00006853259,0.0000220654,0.0001705642,0.00001855838,0.0001166235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002345871,0.0006315824,0.9645798,0.00001963131,0.00001521252,0.00000651683,0.004227809,0.00009520118,0.02272666,0.004868243,0.002210422,0.0005954393],"study_design_scores_gemma":[0.002022045,0.0005385755,0.7539413,0.00003469079,0.00003087085,0.0000140198,0.002740242,0.0006287122,0.0256325,0.06310373,0.1506332,0.0006800899],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964491,0.00001325185,0.00003027729,0.000314689,0.00001127477,0.0002926361,0.00008170765,0.000006507941,0.002800602],"genre_scores_gemma":[0.9979684,0.000004394979,0.00005763998,0.00002568688,0.00001660678,0.0001603279,0.00005455181,0.000004361723,0.001708015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2106385,"threshold_uncertainty_score":0.9987906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01704797127769377,"score_gpt":0.2686138304655345,"score_spread":0.2515658591878407,"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."}}