{"id":"W2081425869","doi":"10.1046/j.1365-2486.2000.06020.x","title":"Simulating the effects of climate change on the carbon balance of North American high‐latitude forests","year":2000,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":184,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Climate change; Growing season; Ecosystem; Taiga; Evapotranspiration; Ecosystem respiration; Primary production; Biome; Atmospheric sciences; Hydrology (agriculture); Physical geography; Ecology; Forestry; Geography; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004514604,0.0004687115,0.000313096,0.0002782097,0.0004568205,0.0005991132,0.0006647172,0.0007541735,0.001090892],"category_scores_gemma":[0.000781321,0.0003842205,0.0005782121,0.0004989745,0.0003253403,0.0004576249,0.0003127336,0.0004409159,0.00009849628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001479357,"about_ca_system_score_gemma":0.001164699,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1290266,"about_ca_topic_score_gemma":0.1206322,"domain_scores_codex":[0.9998883,0.00003890467,0.000005528965,0.00003314175,0.00001175655,0.00002229742],"domain_scores_gemma":[0.9996767,0.0001514765,0.00004286932,0.00002769121,0.00005051188,0.00005077045],"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":[0.0000992729,0.00009151835,0.04171043,0.00002311807,0.00007229114,0.0000611377,0.00004265006,0.9541031,0.001438271,0.0002942686,0.0002553022,0.00180877],"study_design_scores_gemma":[0.00007111426,0.00005768914,0.04129625,0.000005784386,0.00004439916,0.00001844435,0.00006721492,0.9570942,0.0005375515,0.0003252667,0.0004658504,0.00001622819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997763,0.00004301662,0.0009024844,0.00004823716,0.00001082214,0.000009175046,0.0003553322,0.00006369303,0.0008041785],"genre_scores_gemma":[0.9982064,0.00003708105,0.001206844,0.00001500954,0.000004305994,0.00001831424,0.0002733449,0.000009543948,0.0002292189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8709734,"threshold_uncertainty_score":0.2565511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02508041897595235,"score_gpt":0.2436601641610428,"score_spread":0.2185797451850904,"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."}}