{"id":"W7095483056","doi":"","title":"Agricultural and Forest Meteorology 125 (2004) 207–223 Seasonal variation and partitioning of ecosystem respiration in a southern boreal aspen forest","year":2004,"lang":"en","type":"article","venue":"","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Eddy covariance; Ecosystem respiration; Taiga; Ecosystem; Primary production; Boreal; Temperate climate; Boreal ecosystem; Productivity","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":[0.0002091727,0.0001373063,0.0001900953,0.0004800551,0.0003158998,0.0005572012,0.0001382127,0.0001125968,0.001458223],"category_scores_gemma":[0.0003369192,0.00008368312,0.00009152882,0.0005281659,0.0001638977,0.0001726384,0.0001463714,0.0001042955,0.0003825803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006163072,"about_ca_system_score_gemma":0.0002583111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07149301,"about_ca_topic_score_gemma":0.1683742,"domain_scores_codex":[0.9999336,0.000008234328,0.000005850015,0.00001878507,0.0000195284,0.00001400688],"domain_scores_gemma":[0.9997928,0.00001637452,0.00006972731,0.00001315817,0.00005184042,0.00005612004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007831436,0.00003479954,0.9876835,0.00001570292,0.0000385018,0.0001212778,0.0001605025,0.0002115242,0.003277967,0.00004717357,0.001350758,0.006980039],"study_design_scores_gemma":[0.0000019124,0.000004775092,0.9993487,7.182081e-7,0.000002266094,0.00002562445,0.00001723879,0.0001381275,0.00002012819,0.000006102614,0.0004336712,6.738304e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995516,0.0002331087,0.0001094604,0.00004255038,0.00000978237,0.000007098896,0.001117848,0.00002363324,0.002940509],"genre_scores_gemma":[0.9971589,0.0001213223,0.0002440844,0.00002264099,0.00002156708,0.00000717302,0.00177818,0.000007554185,0.0006386473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07149301,"threshold_uncertainty_score":0.1421538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005659888785582183,"score_gpt":0.1807569729160462,"score_spread":0.175097084130464,"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."}}