{"id":"W2083005216","doi":"10.1002/hyp.1038","title":"Using numerical modelling to address hydrologic forest management issues in British Columbia","year":2001,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hydrological modelling; Watershed; Context (archaeology); Forest management; Watershed management; Environmental resource management; Environmental science; Data collection; Computer science; Data management; Hydrology (agriculture); Geography; Data mining; Engineering; Geology; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008419934,0.0002014777,0.0001932666,0.0004303476,0.001005314,0.001898924,0.0009641213,0.0004232169,0.001238734],"category_scores_gemma":[0.004446784,0.0001463425,0.0001514124,0.0011105,0.0009699085,0.0005367888,0.0005592123,0.0004495838,0.00009178754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01472199,"about_ca_system_score_gemma":0.01043577,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8968994,"about_ca_topic_score_gemma":0.9105573,"domain_scores_codex":[0.999643,0.0001540659,0.00002063643,0.00005381022,0.00007378063,0.00005476844],"domain_scores_gemma":[0.9987071,0.0006485448,0.000146587,0.0001134819,0.0003151038,0.00006924639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009432323,0.0001545981,0.0795572,0.00008331302,0.00004740681,0.0002055144,0.0004779975,0.8634202,0.001788232,0.008250626,0.002528889,0.04339166],"study_design_scores_gemma":[0.00004083906,0.00002463224,0.03057849,0.00002984694,0.00002414162,0.00002064876,0.0006275488,0.9591898,0.001370322,0.003063955,0.005002342,0.00002748856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790452,0.0002335716,0.009522374,0.001057683,0.00001409937,0.00007996435,0.0004965433,0.0002249214,0.009325574],"genre_scores_gemma":[0.9901752,0.0002379038,0.007882674,0.00003744221,0.000003715078,0.00005699659,0.0002964431,0.00001744459,0.001292274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1031006,"threshold_uncertainty_score":0.2074155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03890981643226685,"score_gpt":0.2633063410308456,"score_spread":0.2243965245985788,"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."}}