{"id":"W4283525699","doi":"10.1016/j.foreco.2022.120342","title":"Forest restoration and hydrology","year":2022,"lang":"en","type":"article","venue":"Forest Ecology and Management","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":92,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Forest restoration; Environmental science; Evapotranspiration; Restoration ecology; Forest management; Ecological succession; Streamflow; Hydrology (agriculture); Forest ecology; Agroforestry; Ecology; Geography; Ecosystem; Drainage basin; Geology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003069702,0.0001012811,0.0001136177,0.0000629279,0.0007393332,0.000007756385,0.0001059408,0.0000352004,0.0005727611],"category_scores_gemma":[0.000004872718,0.0001000438,0.00001464769,0.0000809812,0.000292521,0.00008555186,0.001407086,0.0001009041,0.00007075138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004712708,"about_ca_system_score_gemma":9.753599e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005348701,"about_ca_topic_score_gemma":0.001598494,"domain_scores_codex":[0.9991536,0.00008613774,0.0001200999,0.0003127698,0.00008225406,0.0002451276],"domain_scores_gemma":[0.9997599,0.00002697733,0.00004677428,0.0001271717,0.000001250129,0.00003798171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000711477,0.0000756172,0.9233785,0.00001878809,0.00007256082,0.00008584465,0.000297608,0.009350541,0.000006185706,0.04234591,0.02307883,0.001218461],"study_design_scores_gemma":[0.0003890733,0.0003101765,0.7754069,5.35444e-7,0.00004538181,0.0000145169,0.0001364737,0.001324727,9.090974e-7,0.02016595,0.2020982,0.0001071248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972129,0.00006089441,0.0001503254,0.003965693,0.0002289737,0.0003798354,0.000002122002,0.00004154756,0.02304158],"genre_scores_gemma":[0.9941002,0.0002241239,0.0002016054,0.001985148,0.00001287899,0.0002929474,0.00001573279,0.000006356686,0.003161035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1790194,"threshold_uncertainty_score":0.6271333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00604302945853342,"score_gpt":0.1943228529973379,"score_spread":0.1882798235388045,"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."}}