{"id":"W2916283596","doi":"10.3390/f10020196","title":"The Cumulative Effects of Forest Disturbance and Climate Variability on Streamflow in the Deadman River Watershed","year":2019,"lang":"en","type":"article","venue":"Forests","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Watershed; Streamflow; Environmental science; Disturbance (geology); Hydrology (agriculture); Climate change; Cumulative effects; Watershed area; Snow; Physical geography; Geography; Drainage basin; Ecology; Geology; Meteorology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004843794,0.00009327755,0.0001067086,0.00001031254,0.0001335295,0.000008637404,0.0001835581,0.00002973907,0.00001293468],"category_scores_gemma":[0.00004860593,0.00004463316,0.00002385949,0.00006788896,0.0003885618,0.00007386273,0.0001810132,0.00008153409,0.00006497538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002393415,"about_ca_system_score_gemma":7.584243e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001469277,"about_ca_topic_score_gemma":0.001999629,"domain_scores_codex":[0.9992102,0.0001449171,0.0001095512,0.0001924867,0.0001282941,0.0002145813],"domain_scores_gemma":[0.9991838,0.0005049066,0.00004570514,0.0002491855,0.000002116482,0.00001428296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006382768,0.00004366166,0.9943164,0.00002628224,0.00001090282,0.000002835273,0.001684071,0.001317893,0.00001265049,0.001977838,0.0001281289,0.0004154834],"study_design_scores_gemma":[0.0003251503,0.0001451558,0.9894806,0.0000133255,0.000009443141,2.354443e-7,0.00003565591,0.0009449529,0.00009505346,0.008472467,0.0004241807,0.00005381479],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960369,0.00001255168,0.00001247983,0.0003999168,0.00006596344,0.0004964722,0.000001824767,0.000006370573,0.002967463],"genre_scores_gemma":[0.9996974,0.00002452586,0.00001701896,0.0001151074,0.000005872264,0.00003039126,0.000002382792,0.0000036259,0.000103626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006494629,"threshold_uncertainty_score":0.1820087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004429143822211012,"score_gpt":0.2111343171364531,"score_spread":0.2067051733142421,"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."}}