{"id":"W3140643100","doi":"","title":"Water Yield Response to Forest Cover Change - Insights from 33 Years of Research at Upper Penticton Creek, BC, Canada","year":2018,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Forest cover; Cover (algebra); Forestry; Physical geography; Environmental science; Hydrology (agriculture); Geography; Geology; Ecology; Engineering; Biology","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":[0.0007452562,0.0002756013,0.0004539127,0.00116412,0.00205382,0.001384982,0.0009828841,0.0003474584,0.001152576],"category_scores_gemma":[0.001457785,0.0002483999,0.0003287782,0.004520172,0.0007651352,0.0005635851,0.000730139,0.0005102254,0.0001958223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02062413,"about_ca_system_score_gemma":0.02253079,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936262,"about_ca_topic_score_gemma":0.9984738,"domain_scores_codex":[0.9993708,0.00005238032,0.00002933197,0.00011634,0.0002099323,0.0002212748],"domain_scores_gemma":[0.9981444,0.0001240379,0.0001813244,0.00005265963,0.001222751,0.0002748796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001215872,0.0001006125,0.9678153,0.00008251757,0.000200684,0.0002257117,0.003005463,0.0007204256,0.00148718,0.0002428937,0.002583511,0.02341398],"study_design_scores_gemma":[0.000001638019,0.000005647386,0.9972825,0.00001485702,0.00001657586,0.00001590318,0.001112354,0.0001551563,0.00007367734,0.00001949226,0.001296981,0.000005117221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914316,0.0008799589,0.0001840342,0.0003508983,0.000006440962,0.00002566803,0.004015927,0.000009307202,0.003096255],"genre_scores_gemma":[0.9939175,0.0009590491,0.0003194379,0.0001050281,0.000005756157,0.00002010726,0.002324136,0.00001247309,0.002336415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02062413,"threshold_uncertainty_score":0.1496392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03810113945607665,"score_gpt":0.2637482872722167,"score_spread":0.22564714781614,"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."}}