{"id":"W2093038583","doi":"10.1007/s10342-012-0656-z","title":"The impact of tropospheric ozone on landscape-level merchantable biomass and ecosystem carbon in Canadian forests","year":2012,"lang":"en","type":"article","venue":"European Journal of Forest Research","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Forest Service; McGill University; Natural Resources Canada; Environment and Climate Change Canada","funders":"Canadian Forest Service; Natural Resources Canada; Canadian Natural Resources Limited","keywords":"Environmental science; Biomass (ecology); Ecosystem; Forest ecology; Atmospheric sciences; Climate change; Ecology; Physical geography; Geography; Forestry; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005792624,0.0001088373,0.0001861858,0.0001026244,0.0001738672,0.00006705068,0.0004318277,0.00003414953,0.00002871895],"category_scores_gemma":[0.0004079187,0.00003400963,0.00007434782,0.0005973996,0.00007850726,0.0001044432,0.00006367883,0.0003858736,0.00001087772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001653027,"about_ca_system_score_gemma":0.0001147257,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04379092,"about_ca_topic_score_gemma":0.3612904,"domain_scores_codex":[0.9970255,0.001330631,0.0003405971,0.000100609,0.000437631,0.0007649979],"domain_scores_gemma":[0.9983347,0.0008273825,0.0001438614,0.00007191263,0.0001672807,0.000454875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005942603,0.0000714461,0.9674982,0.000006479325,0.0000391546,0.0001741505,0.00014165,0.00004863525,0.02257328,0.00008428677,0.0007914754,0.007976973],"study_design_scores_gemma":[0.0002393193,0.001329509,0.9949188,0.00007829138,0.000002735684,0.0001612853,0.0001591184,0.0001548281,0.0003488398,0.00002546357,0.002514258,0.00006757987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950864,0.001094612,1.504286e-7,0.0003188963,0.00005102663,0.0001273624,0.00003834505,0.000002663231,0.003280536],"genre_scores_gemma":[0.9994587,0.000217543,0.000005865874,0.000003163246,0.0001734369,9.872604e-7,0.000003358198,0.000002612417,0.0001343408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3174994,"threshold_uncertainty_score":0.9625766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05982269505342159,"score_gpt":0.2950067495415492,"score_spread":0.2351840544881276,"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."}}