{"id":"W1976661741","doi":"10.1890/1051-0761(2000)010[0060:pmfspm]2.0.co;2","title":"PHYSIOLOGICAL MODELS FOR SCALING PLOT MEASUREMENTS OF CO<sub>2</sub>FLUX ACROSS AN ARCTIC TUNDRA LANDSCAPE","year":2000,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Achievement Rewards for College Scientists Foundation; Arctic Institute of North America; National Science Foundation","keywords":"Tundra; Environmental science; Arctic vegetation; Arctic; Atmospheric sciences; Primary production; Ecosystem; Normalized Difference Vegetation Index; Vegetation (pathology); Flux (metallurgy); Climate change; Climatology; Ecology; Geology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000786364,0.0009641005,0.0003370458,0.0006027349,0.0002666647,0.0006121262,0.0005961495,0.0004272588,0.0009892206],"category_scores_gemma":[0.002168,0.0003606368,0.0008329068,0.000500056,0.0003187432,0.0007784197,0.0002870237,0.0003443785,0.0002851983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009127107,"about_ca_system_score_gemma":0.0004490851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01242683,"about_ca_topic_score_gemma":0.009931522,"domain_scores_codex":[0.9997092,0.00007494118,0.00002245148,0.0001209542,0.00005240466,0.00002005957],"domain_scores_gemma":[0.9994422,0.0002150069,0.0001479823,0.00007702361,0.00009229727,0.00002550042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001006415,0.0002141471,0.04403549,0.0001464543,0.0002396791,0.0001018259,0.0002894161,0.8708837,0.03138965,0.009241885,0.001016175,0.04234093],"study_design_scores_gemma":[0.00001286185,0.00007506664,0.0294405,0.000008362792,0.00003489232,0.0000536734,0.00004257715,0.9630167,0.00197897,0.004043109,0.001267485,0.00002575921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3960072,0.0004431576,0.5939897,0.0002175861,0.0001109669,0.0002602831,0.001256198,0.001874449,0.005840438],"genre_scores_gemma":[0.9516966,0.0002478179,0.04550725,0.00004039602,0.00002760173,0.0003109139,0.0007336396,0.00009434153,0.001341607],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01242683,"threshold_uncertainty_score":0.02470899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1266321875628443,"score_gpt":0.3061430138623867,"score_spread":0.1795108262995424,"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."}}