{"id":"W3012666101","doi":"","title":"The Recovery of Net Ecosystem Productivity and Water Use Efficiency of a Harvested Aspen Forest in the Western Boreal Plain, Alberta, Canada","year":2011,"lang":"en","type":"article","venue":"AGUFM","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Taiga; Productivity; Environmental science; Ecosystem; Primary production; Boreal ecosystem; Agroforestry; Boreal; Forestry; Logging; Geography; Ecology; Archaeology; 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":[0.0003791848,0.000200867,0.0002102087,0.0005517516,0.001734692,0.001056116,0.000914368,0.000362915,0.0009281359],"category_scores_gemma":[0.0009228402,0.0001339414,0.0002040358,0.0009616797,0.000816942,0.0003379807,0.0004110589,0.0003587012,0.0001399974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01667673,"about_ca_system_score_gemma":0.01238589,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9860684,"about_ca_topic_score_gemma":0.9958307,"domain_scores_codex":[0.9997514,0.00002149724,0.000009799688,0.00003351958,0.00008600709,0.00009773709],"domain_scores_gemma":[0.9994953,0.00004311198,0.00006161635,0.00002026315,0.0002365165,0.0001432284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001641939,0.0003906298,0.9434115,0.00007544801,0.0001898028,0.001167645,0.002036855,0.00719231,0.008728662,0.0008962531,0.002729451,0.03153945],"study_design_scores_gemma":[0.00001269204,0.00002550447,0.9961019,0.000006381836,0.00001391453,0.00005170917,0.001258877,0.001355784,0.0002726976,0.00006982125,0.0008219908,0.000008718295],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986111,0.00008753123,0.0000449953,0.00008757516,0.000002586756,0.000006938717,0.000259849,0.000004651597,0.0008946856],"genre_scores_gemma":[0.9975815,0.00008817916,0.0001153422,0.00003203237,0.000001389949,0.00000362487,0.0003613963,0.000002260508,0.001814244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01667673,"threshold_uncertainty_score":0.1209987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270184433000545,"score_gpt":0.1868256489136039,"score_spread":0.1741238045835984,"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."}}