{"id":"W2582151635","doi":"10.1002/eco.1840","title":"Do the hydrological responses to forest disturbances in large watersheds vary along climatic gradients in the interior of British Columbia, Canada?","year":2017,"lang":"en","type":"article","venue":"Ecohydrology","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Environmental science; Hydrology (agriculture); Watershed; Climate change; Precipitation; Willow; Evapotranspiration; Water balance; Forest management; Ecology; Geology; Geography; Agroforestry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001309648,0.000114203,0.00029589,0.00003233387,0.0004065553,0.00006136341,0.001178947,0.00007767702,0.0002279722],"category_scores_gemma":[0.0002084117,0.00009279561,0.00004322957,0.0001082162,0.0006254802,0.0001218305,0.0008344512,0.0002075627,0.00003196754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007869559,"about_ca_system_score_gemma":0.00001114202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7036471,"about_ca_topic_score_gemma":0.995869,"domain_scores_codex":[0.9981692,0.0003806883,0.000358437,0.0003569788,0.0001807776,0.0005538941],"domain_scores_gemma":[0.9990556,0.0002326606,0.000134552,0.0005350098,0.000003485197,0.00003868512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007193415,0.0000710168,0.9948608,0.000007354408,0.00001633867,0.0002227608,0.001029323,0.0003561157,0.00001634983,0.00001565888,0.003075751,0.0002566255],"study_design_scores_gemma":[0.0004288373,0.0001627293,0.9931111,0.00001475411,0.00001199242,0.00001908546,0.0001092623,0.0005287632,0.000002583529,0.001520573,0.00398633,0.0001039605],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903562,0.0000490926,0.00000460862,0.007018238,0.0002313956,0.000432012,0.0000231532,0.000006386865,0.001878923],"genre_scores_gemma":[0.9965652,0.0000280792,0.00001552566,0.00285399,0.00001791928,0.0001347008,0.000003963732,0.000006565434,0.0003740458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2922218,"threshold_uncertainty_score":0.3784095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119921825506676,"score_gpt":0.229735158439979,"score_spread":0.2185359401849122,"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."}}