{"id":"W2088468288","doi":"10.1139/f00-106","title":"Impacts of intensive harvesting on hydrology and nutrient dynamics of northern hardwood forests","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Andrew W. Mellon Foundation; U.S. Department of Agriculture","keywords":"Environmental science; Hydrology (agriculture); Interception; STREAMS; Experimental forest; Hardwood; Nutrient; Growing season; Clearcutting; Ecology; Transpiration; Vegetation (pathology); Logging; Habitat; Chronosequence; Biology; Geology; Soil water; Soil science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002369102,0.0001440802,0.0001714715,0.0003047277,0.0004822263,0.0005188099,0.0001412117,0.0001172328,0.001205037],"category_scores_gemma":[0.0004422381,0.0001042183,0.0001182119,0.0003187633,0.0006611219,0.0002129517,0.0003800642,0.0001567269,0.0001109998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00222744,"about_ca_system_score_gemma":0.001019791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1713652,"about_ca_topic_score_gemma":0.4642903,"domain_scores_codex":[0.999868,0.00002129166,0.000005831357,0.00002060764,0.00002549625,0.00005872596],"domain_scores_gemma":[0.9996598,0.00004418466,0.00008260656,0.00001625026,0.00004770062,0.0001495599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009077114,0.0002717582,0.9450727,0.00004761477,0.00008601815,0.001839065,0.0009598276,0.002113965,0.0288114,0.0001942465,0.000742805,0.01895287],"study_design_scores_gemma":[0.000003277959,0.00001804011,0.9995621,0.000001219436,0.000002121297,0.00002688384,0.0001122126,0.00006677308,0.0001021714,0.00001084146,0.00009278689,0.000001482668],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995263,0.00003267179,0.00001028633,0.00001323083,0.000001080913,0.000001785187,0.00003651924,0.000001515606,0.0003766115],"genre_scores_gemma":[0.9993598,0.00006583196,0.00002513438,0.00002559001,0.000003578625,0.000003984885,0.00009663944,0.000001253926,0.0004182521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1713652,"threshold_uncertainty_score":0.3407355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006148690164375,"score_gpt":0.2008445113559907,"score_spread":0.1907830244543469,"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."}}