{"id":"W1521460717","doi":"10.1002/9781118906170.ch4","title":"Tributary Channel Gradation Due to Regulation of Peace River","year":2014,"lang":"en","type":"other","venue":"","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; BC Hydro","keywords":"Tributary; Gradation; Channel (broadcasting); Hydrology (agriculture); Geology; Geography; Geotechnical engineering; Engineering; Computer science; Cartography; Telecommunications; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002463094,0.00007974484,0.0001355111,0.0005957141,0.0008488468,0.0008723185,0.0005170482,0.0002263336,0.008377838],"category_scores_gemma":[0.001981744,0.00009954209,0.0002657938,0.001118926,0.0007367391,0.0003455117,0.0008662489,0.0004922752,0.000535865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001742284,"about_ca_system_score_gemma":0.0009707886,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04340913,"about_ca_topic_score_gemma":0.08394878,"domain_scores_codex":[0.9996659,0.00005433627,0.00001560446,0.00008637617,0.00007595647,0.0001018871],"domain_scores_gemma":[0.9992198,0.0001111945,0.0001954987,0.0001160745,0.0001997228,0.0001577672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001275222,0.0002844145,0.88008,0.00005504832,0.0001174525,0.002131971,0.002856771,0.007219945,0.008596962,0.02009201,0.01323123,0.06405889],"study_design_scores_gemma":[0.00001688074,0.00004946026,0.9855965,0.000006371464,0.00002002221,0.0001476944,0.00130992,0.003473792,0.001240007,0.001469368,0.006657726,0.00001226961],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719923,0.00002968134,0.0005740994,0.000305348,0.00003853823,0.00001719793,0.0006581583,0.0000631888,0.02632145],"genre_scores_gemma":[0.9937279,0.00001904263,0.0001246751,0.00004218291,0.00001101361,0.000006536155,0.0002663043,0.00002483407,0.005777535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9565909,"threshold_uncertainty_score":0.08631295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006541757422493773,"score_gpt":0.2005671054260415,"score_spread":0.1940253480035477,"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."}}