{"id":"W2134872513","doi":"10.1016/j.agrformet.2005.04.002","title":"Interacting effects of temperature, soil moisture and plant biomass production on ecosystem respiration in a northern temperate grassland","year":2005,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":372,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada; University of Lethbridge","keywords":"Environmental science; Eddy covariance; Growing season; Ecosystem respiration; Soil respiration; Q10; Biomass (ecology); Water content; Ecosystem; Grassland; Respiration; Agronomy; Primary production; Moisture; Atmospheric sciences; Soil water; Soil science; Ecology; Botany; Chemistry; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000552345,0.0002644775,0.000534063,0.0003039168,0.0004852243,0.0005471793,0.0003934994,0.0004657821,0.0009155754],"category_scores_gemma":[0.001007694,0.0004019366,0.0003903589,0.0002601921,0.0007288842,0.0004343977,0.0004545971,0.0002885027,0.0001085152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007301383,"about_ca_system_score_gemma":0.0003779913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01425948,"about_ca_topic_score_gemma":0.02729387,"domain_scores_codex":[0.9998153,0.00008443514,0.00001187447,0.00003927546,0.00001187048,0.00003720513],"domain_scores_gemma":[0.9990259,0.0005935829,0.0000936705,0.00004954335,0.00005185626,0.0001853679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007928105,0.0005951105,0.7307535,0.000183541,0.0007996582,0.001480179,0.0008095081,0.01415752,0.2340604,0.0003995131,0.0004749019,0.008357959],"study_design_scores_gemma":[0.00003336869,0.0001139597,0.9938074,0.000001935067,0.00006414525,0.0001205089,0.0001260119,0.0048526,0.0007248241,0.00008708559,0.00005786067,0.00001034678],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998196,0.0000366182,0.00003639278,0.00001035914,0.000001197711,7.238831e-7,0.0000221836,0.000002919261,0.00007011554],"genre_scores_gemma":[0.9998154,0.00001514054,0.00005099363,0.000007718156,0.000002376476,0.000001623797,0.00003266301,0.000002848037,0.00007130293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01425948,"threshold_uncertainty_score":0.02835298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003475004281199365,"score_gpt":0.1734317304464134,"score_spread":0.169956726165214,"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."}}