{"id":"W2320727585","doi":"10.5194/hessd-9-2855-2012","title":"The cumulative effects of forest disturbance on streamflow in a large watershed in the central interior of British Columbia, Canada","year":2012,"lang":"en","type":"article","venue":"","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disturbance (geology); Salvage logging; Watershed; Environmental science; Logging; Context (archaeology); Hydrology (agriculture); Forest management; Streamflow; Watershed area; Forest ecology; Ecology; Geography; Forestry; Ecosystem; Agroforestry; Drainage basin; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0002394569,0.0002805745,0.0003870647,0.001023193,0.001640741,0.001366378,0.0005948781,0.0002781457,0.001165914],"category_scores_gemma":[0.0008512646,0.0001754845,0.0002272612,0.002798278,0.0006571991,0.000247899,0.0006052869,0.0003747495,0.0001125389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01375671,"about_ca_system_score_gemma":0.01273353,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.985271,"about_ca_topic_score_gemma":0.9942274,"domain_scores_codex":[0.999648,0.00002850257,0.00001956658,0.00007287095,0.0001152277,0.0001158126],"domain_scores_gemma":[0.9990293,0.00009049979,0.0001078125,0.00002765028,0.00044874,0.0002960573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009974025,0.00008021512,0.9865172,0.0000307441,0.00007201053,0.0004966761,0.0005202639,0.001002151,0.00109858,0.00005379213,0.0008543201,0.009174262],"study_design_scores_gemma":[0.000002294927,0.000008734629,0.9980101,0.000006914638,0.00001355143,0.00003146061,0.0007139574,0.0008407806,0.00004466263,0.000009836383,0.0003125377,0.000005100942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985189,0.0001517063,0.0000548253,0.00005313785,0.000003672635,0.00001289228,0.0006029418,0.0000105608,0.0005914005],"genre_scores_gemma":[0.9987839,0.0001482603,0.0001128109,0.00001976461,0.000002076726,0.000008415002,0.0004626652,0.000002243822,0.0004599617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01472902,"threshold_uncertainty_score":0.09981245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003621436393837042,"score_gpt":0.1858180305170025,"score_spread":0.1821965941231654,"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."}}