{"id":"W2307258732","doi":"10.25675/3.018384","title":"Forest respiration from eddy covariance and chamber measurements under high turbulence and a bark beetle epidemic","year":2007,"lang":"en","type":"article","venue":"Digital Collections of Colorado (Colorado State University)","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Forest Service; Commonwealth Scientific and Industrial Research Organisation; Rocky Mountain Research Station; McMaster University","keywords":"Eddy covariance; Bark beetle; Respiration; Turbulence; Environmental science; Atmospheric sciences; Bark (sound); Covariance; Meteorology; Mathematics; Botany; Biology; Geography; Physics; Forestry; Ecology; Ecosystem; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0004481298,0.0003203297,0.0002811339,0.0002931637,0.0003296259,0.0004890211,0.0002665183,0.0003020398,0.0002645204],"category_scores_gemma":[0.0006224007,0.0001919813,0.000247293,0.0003868514,0.0001594161,0.0003539408,0.0001849365,0.0002891369,0.00009582231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004399058,"about_ca_system_score_gemma":0.0002307407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01368632,"about_ca_topic_score_gemma":0.02129907,"domain_scores_codex":[0.9997582,0.00005404494,0.00001646643,0.0000740477,0.00005324212,0.00004398568],"domain_scores_gemma":[0.999593,0.0001222838,0.0001219298,0.00004336246,0.00007022257,0.00004930081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001227589,0.0002935069,0.6791536,0.0001043339,0.0002081043,0.0001946155,0.0004805084,0.007272994,0.2964508,0.0001989803,0.0005048968,0.01391002],"study_design_scores_gemma":[0.000009767725,0.0001441592,0.9774684,0.000004934281,0.0000369187,0.0001087053,0.0000745668,0.01052936,0.011339,0.0000336056,0.0002338623,0.00001668857],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984792,0.00007086289,0.0007428892,0.000005113565,0.000003161756,0.000005008356,0.0003126366,0.00001781434,0.0003632545],"genre_scores_gemma":[0.9982557,0.00004595175,0.0009666565,0.00001140585,0.00000457666,0.000009650041,0.000598609,0.000008258212,0.00009938744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01368632,"threshold_uncertainty_score":0.02721334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01347322282067427,"score_gpt":0.191742577868771,"score_spread":0.1782693550480967,"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."}}