{"id":"W2150922151","doi":"10.1029/2012jg001960","title":"A model‐data comparison of gross primary productivity: Results from the North American Carbon Program site synthesis","year":2012,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":375,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Environment and Climate Change Canada; University of British Columbia; University of Toronto; Canadian Forest Service; Université Laval; University of Alberta; Natural Resources Canada; Carleton University; McMaster University; Université du Québec à Montréal; Queen's University","funders":"National Oceanic and Atmospheric Administration","keywords":"Primary production; Eddy covariance; Environmental science; Atmospheric sciences; Ecosystem respiration; Biomass (ecology); Wind speed; Canopy; Ecosystem; Carbon cycle; Productivity; Climatology; Meteorology; Ecology; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001684366,0.0006815539,0.0005707162,0.0007694333,0.0003417355,0.0007144133,0.0005170011,0.000372002,0.002760115],"category_scores_gemma":[0.00308416,0.0002240213,0.0006926311,0.001205807,0.0001749791,0.0007737232,0.0003669409,0.0002661894,0.0007635197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001344294,"about_ca_system_score_gemma":0.001110332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1117944,"about_ca_topic_score_gemma":0.1710863,"domain_scores_codex":[0.9993346,0.0001983116,0.00004046897,0.0002029473,0.0001756575,0.00004780399],"domain_scores_gemma":[0.9974344,0.0008326201,0.0001884394,0.0004828604,0.0009858242,0.00007581229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003146466,0.0004731122,0.5170298,0.0005376696,0.001999168,0.0001688795,0.0003113608,0.3287248,0.009529227,0.001364004,0.02227291,0.1144427],"study_design_scores_gemma":[0.000290297,0.0002914683,0.8171428,0.00005768979,0.0004111029,0.00007851447,0.0003614739,0.1619775,0.005734948,0.0008216453,0.01273415,0.00009843226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.955485,0.0003345265,0.003579528,0.0001640377,0.00003223472,0.0000899023,0.03007367,0.001141304,0.009099779],"genre_scores_gemma":[0.9688826,0.00008894111,0.002780439,0.00005545653,0.000009859056,0.0001104303,0.02660508,0.0001803995,0.001286936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1117944,"threshold_uncertainty_score":0.2222874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0571035745256635,"score_gpt":0.3257092285757164,"score_spread":0.2686056540500529,"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."}}