{"id":"W1987274615","doi":"10.1016/j.agrformet.2006.08.001","title":"Ecosystem-level CO2 fluxes from a boreal cutover in eastern Canada before and after scarification","year":2006,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":92,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Ecosystem respiration; Environmental science; Ecosystem; Eddy covariance; Scarification; Boreal ecosystem; Taiga; Atmospheric sciences; Biometeorology; Primary production; Productivity; Boreal; Hydrology (agriculture); Ecology; Forestry; Canopy; Agronomy; Geography; Biology; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003617365,0.0001033268,0.0001198269,0.00001346412,0.00004206373,0.00001876318,0.00005216145,0.00007862528,0.00002699106],"category_scores_gemma":[0.000002051907,0.00006339647,0.00001294068,0.00006279293,0.0000455213,0.0001099116,0.00005512004,0.00006792893,0.000006896671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005992475,"about_ca_system_score_gemma":0.000005345672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6155474,"about_ca_topic_score_gemma":0.9888651,"domain_scores_codex":[0.9993601,0.00002939407,0.0001516198,0.0002087267,0.00008491246,0.0001652211],"domain_scores_gemma":[0.9998304,0.00001960168,0.00004231833,0.00005944607,0.000004293948,0.00004391173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001189215,0.000009611027,0.9981802,0.000002009871,0.000004846714,0.000009550311,0.0000637738,0.0004194057,0.0003006785,0.0001986065,0.00008948,0.0007099804],"study_design_scores_gemma":[0.0002032193,0.00002420754,0.9938658,0.000004291197,0.0000127025,0.00003201307,0.00002160801,0.004341403,0.000009471194,0.0006575212,0.0007363128,0.00009143973],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985237,0.00006059324,0.00001094005,0.0002551361,0.00005215061,0.0001065907,0.0001685232,0.000007248306,0.0008151912],"genre_scores_gemma":[0.999063,0.00000829068,0.0001040696,0.00005899063,0.00002971524,0.00002164902,0.0002763956,0.000002957794,0.0004348877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3733177,"threshold_uncertainty_score":0.3870127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003412921842521128,"score_gpt":0.153502868772964,"score_spread":0.1500899469304429,"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."}}