{"id":"W2783280656","doi":"10.1139/as-2016-0009","title":"Modelling impacts of recent warming on seasonal carbon exchange in higher latitudes of North America","year":2018,"lang":"en","type":"article","venue":"Arctic Science","topic":"Climate variability and models","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Aeronautics and Space Administration","keywords":"Environmental science; Global warming; Latitude; Ecosystem; Productivity; Growing season; Atmospheric sciences; Carbon sequestration; Climatology; Climate change; Spring (device); Carbon dioxide; Agronomy; Geography; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004796434,0.00007375688,0.0001188086,0.00006025089,0.00005504962,0.000006698464,0.0002631471,0.00001716356,0.0005785098],"category_scores_gemma":[0.00008859501,0.00006317495,0.00001869362,0.0008203478,0.001072625,0.0001681658,0.0001630633,0.00005952457,0.00001306058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000177832,"about_ca_system_score_gemma":0.00003522003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003681669,"about_ca_topic_score_gemma":0.0005399579,"domain_scores_codex":[0.9987755,0.00002503464,0.0001819831,0.0002790701,0.0004732169,0.0002651776],"domain_scores_gemma":[0.9994866,0.00008032798,0.000091729,0.0002350608,0.00002766244,0.00007856481],"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":[0.00007250813,0.0003838011,0.7589734,0.0000571682,0.000003945534,0.000001979128,0.00570817,0.2035928,0.01902841,0.0002267844,0.000006450869,0.01194461],"study_design_scores_gemma":[0.0002738948,0.0003808863,0.458089,0.0001115511,0.000008245,0.000001061997,0.00006683339,0.5329083,0.00657458,0.001022873,0.0003720573,0.0001907294],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931728,0.000006659637,0.0001275393,0.0001608396,0.00009041141,0.00009629799,0.000002559976,0.000006066646,0.006336787],"genre_scores_gemma":[0.9980137,0.00005796719,0.001798176,0.00009364009,0.00001491452,0.000003005272,4.568152e-7,0.000003627094,0.00001451701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3293155,"threshold_uncertainty_score":0.6334277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06472590074860443,"score_gpt":0.2785088433757343,"score_spread":0.2137829426271299,"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."}}