{"id":"W2171609164","doi":"10.1046/j.1365-2486.2002.00491.x","title":"Seasonal and interannual variation in carbon dioxide exchange and carbon balance in a northern temperate grassland","year":2002,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":560,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; University of Lethbridge","keywords":"Environmental science; Ecosystem respiration; Eddy covariance; Leaf area index; Growing season; Temperate climate; Ecosystem; Primary production; Water content; Grassland; Atmospheric sciences; Canopy; Carbon dioxide; Soil respiration; Soil water; Precipitation; Animal science; Agronomy; Ecology; Soil science; Geography; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002693795,0.0001334017,0.0001894896,0.0004620403,0.0003745281,0.0004017666,0.000205354,0.0001902083,0.000528424],"category_scores_gemma":[0.0004179506,0.00009744593,0.00008004219,0.0005240571,0.0002760197,0.0001568939,0.0001421419,0.0000958691,0.00008796011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001491541,"about_ca_system_score_gemma":0.0005273062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3179412,"about_ca_topic_score_gemma":0.5745516,"domain_scores_codex":[0.9999092,0.000009748527,0.000004184452,0.00002165765,0.00002808319,0.00002717281],"domain_scores_gemma":[0.9997459,0.00004364334,0.0000523167,0.00001422828,0.00007240383,0.00007147033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002450065,0.00007963114,0.9713063,0.00001820566,0.00006736445,0.0002666697,0.0006235828,0.000560743,0.02095456,0.0000371987,0.0002340487,0.005606728],"study_design_scores_gemma":[9.048876e-7,0.000004201504,0.9997329,4.571059e-7,0.000001378729,0.00001005881,0.00004446228,0.0001163315,0.00004128848,0.000002473871,0.00004465874,8.493161e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996895,0.0000345687,0.00002554977,0.000005081234,6.585744e-7,0.000001284262,0.00007724912,0.00000302527,0.0001630793],"genre_scores_gemma":[0.9995366,0.00002157246,0.00005612466,0.000007971351,0.000001420846,0.000002515565,0.0001912187,0.000001277034,0.0001812303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3179412,"threshold_uncertainty_score":0.6321813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109308155884147,"score_gpt":0.205126124608735,"score_spread":0.1940330430498935,"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."}}