{"id":"W2072632754","doi":"10.4296/cwrj3403285","title":"Detecting the Timing of Morphologic Change Using Stage-Discharge Regressions: A Case Study at Fishtrap Creek, British Columbia, Canada","year":2009,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rating curve; Riparian zone; Hydrology (agriculture); Stage (stratigraphy); Environmental science; Watershed; Channel (broadcasting); STREAMS; Geology; Physical geography; Geography; Geotechnical engineering; Geomorphology; Computer science; Ecology; Habitat; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000554736,0.0003228185,0.0003140653,0.001285413,0.001437776,0.001084314,0.001099426,0.0005094808,0.0009008457],"category_scores_gemma":[0.002557202,0.0002875948,0.0002417605,0.003325025,0.0006376031,0.0003975273,0.0005119335,0.0005910146,0.0001591735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01078624,"about_ca_system_score_gemma":0.007618434,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9782606,"about_ca_topic_score_gemma":0.9959068,"domain_scores_codex":[0.9993724,0.00006170367,0.00003484592,0.0001281178,0.0002632639,0.0001397463],"domain_scores_gemma":[0.997892,0.0002910645,0.0002766732,0.0000791952,0.001200152,0.0002609311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006524788,0.00007614926,0.9741006,0.00003706977,0.00004265061,0.001091548,0.001995977,0.0011868,0.003052397,0.00006786802,0.0004909317,0.01779271],"study_design_scores_gemma":[0.000002559803,0.00003137415,0.9949125,0.000008833179,0.00001323254,0.00008455646,0.002175621,0.001874841,0.0003616292,0.00001491436,0.0005096565,0.00001031449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975459,0.00008186203,0.0004258182,0.00006028976,0.000001683428,0.00005755035,0.0005399504,0.00002112625,0.001265835],"genre_scores_gemma":[0.9964753,0.0001322867,0.001531869,0.00003163548,0.000001401091,0.00001827349,0.0004878019,0.000009000774,0.001312397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02173942,"threshold_uncertainty_score":0.07826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03659661283700558,"score_gpt":0.2237550074914405,"score_spread":0.1871583946544349,"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."}}