{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001097195,0.0001121968,0.0001379957,0.00003426314,0.00001538939,0.00000911922,0.00005744051,0.0001126754,0.0000178452],"category_scores_gemma":[0.000008829493,0.0001011221,0.000009196831,0.0001612046,0.00007200106,0.0000622264,0.00009584316,0.00008199111,0.000003818178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001478736,"about_ca_system_score_gemma":0.000001572917,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007163817,"about_ca_topic_score_gemma":0.0408747,"domain_scores_codex":[0.9992514,0.00007593008,0.0001253482,0.0002673464,0.0000555794,0.0002244398],"domain_scores_gemma":[0.9998311,0.00001266015,0.00003529713,0.00006921228,0.00000306433,0.00004870513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000140136,0.0000209969,0.9963782,0.000003948088,0.000002685127,0.00001159993,0.00059603,0.000006273508,0.0003728023,0.00002608377,0.00000170469,0.002565678],"study_design_scores_gemma":[0.0005036885,0.00005976453,0.9372352,0.00001312958,0.000003459977,0.00002974104,0.0000138765,0.06155272,0.000001602887,0.0002816961,0.0001859723,0.0001191102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997377,0.0006365842,0.000003438871,0.0002475504,0.00009058478,0.0001536566,0.00005866768,0.00001172098,0.001420767],"genre_scores_gemma":[0.9994453,0.0003337457,0.00002393135,0.00007732681,0.00004029016,0.00003079258,0.0000170153,0.000003887354,0.00002769922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06154644,"threshold_uncertainty_score":0.9994476,"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."}}