{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002634292,0.0001673582,0.0002098039,0.0002412982,0.0004370683,0.00006054391,0.0001364719,0.00009830976,0.00014484],"category_scores_gemma":[0.00005885215,0.0001909401,0.00003593179,0.0009504818,0.0004997698,0.0008357784,0.0002626736,0.0001214049,0.00002719865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003066175,"about_ca_system_score_gemma":0.00003185299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001095276,"about_ca_topic_score_gemma":0.009413892,"domain_scores_codex":[0.9988306,0.00004194322,0.0002320748,0.0004029365,0.0002069831,0.0002854265],"domain_scores_gemma":[0.9993168,0.0001534283,0.0001637913,0.000186696,0.00004139215,0.0001378832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009737366,0.003211414,0.618291,0.0001901189,0.001500408,0.0006210891,0.003788528,0.2313094,0.007457201,0.07661635,0.03703089,0.01024618],"study_design_scores_gemma":[0.003321222,0.001333168,0.911877,0.00005845727,0.0001653301,0.000015587,0.001091899,0.002790466,0.0007410313,0.03474247,0.043123,0.0007403648],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651935,0.00002837478,0.02052818,0.0001692776,0.0001409688,0.0005113243,0.00006562127,0.00004897986,0.01331374],"genre_scores_gemma":[0.9925228,0.00005425016,0.00120601,0.0001114412,0.000009959384,0.000002772288,0.00001710427,0.00001121535,0.006064447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.293586,"threshold_uncertainty_score":0.7786313,"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."}}