{"id":"W2013696033","doi":"10.4296/cwrj2601043","title":"Hydrologic and Climatic Zonation of Georgia Basin, British Columbia","year":2001,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snowmelt; Snowpack; Surface runoff; Structural basin; Snow; Watershed; Hydrology (agriculture); Drainage basin; Precipitation; Environmental science; Hydrograph; Climate change; Hydrological modelling; Physical geography; Climatology; Geography; Geology; Meteorology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000846018,0.0002231372,0.0004458023,0.0002108342,0.001141384,0.0003449294,0.000442843,0.0001650329,0.001650268],"category_scores_gemma":[0.0001122581,0.0002450394,0.0001057619,0.0002348904,0.001104133,0.0003807206,0.000140684,0.0003215999,0.00003229899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005394385,"about_ca_system_score_gemma":0.000002916699,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6950506,"about_ca_topic_score_gemma":0.9726407,"domain_scores_codex":[0.9975901,0.0002319744,0.0005384454,0.0004216246,0.0001469623,0.001070955],"domain_scores_gemma":[0.9986514,0.00005486458,0.000200802,0.000243754,0.0000490708,0.0008001373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004254327,0.00003638914,0.8342146,0.0001222114,0.0001631753,0.001920017,0.1498832,0.001390469,0.000395996,0.000001265615,0.0004282146,0.011402],"study_design_scores_gemma":[0.0004950171,0.0004166566,0.121455,0.0001960932,0.0001106439,0.003262344,0.0006011408,0.001210052,0.0001047406,0.004987121,0.8666742,0.0004870059],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917742,0.0006081058,0.00001487682,0.001025657,0.0001035609,0.0002268458,0.00001917705,0.00003182984,0.006195738],"genre_scores_gemma":[0.9940717,0.001210957,0.0001751502,0.0005468479,0.0000980644,0.00001466086,0.00001159024,0.00003299153,0.003838046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.866246,"threshold_uncertainty_score":0.9992623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00825388704257357,"score_gpt":0.1757525249229228,"score_spread":0.1674986378803492,"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."}}