{"id":"W2132679653","doi":"10.1016/j.envpol.2006.10.009","title":"New exposure-based metric approach for evaluating O3 risk to North American aspen forests","year":2006,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Canadian Forest Service; Environment and Climate Change Canada; Natural Resources Canada","funders":"U.S. Forest Service; Natural Resources Canada; U.S. Department of Energy","keywords":"Growing season; Context (archaeology); Environmental science; Confidence interval; Range (aeronautics); Growing degree-day; Metric (unit); Vegetation (pathology); Atmospheric sciences; Statistics; Geography; Forestry; Physical geography; Mathematics; Ecology; Biology; Phenology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0001913089,0.0001595386,0.0001485853,0.000037789,0.0002246006,0.00003723182,0.0001775208,0.00004199069,0.00006243456],"category_scores_gemma":[0.00005271467,0.00007617027,0.00009473857,0.0004650873,0.00003973703,0.00007712014,0.00003908337,0.00007816465,0.00005247562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001796854,"about_ca_system_score_gemma":0.000008930814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001994614,"about_ca_topic_score_gemma":0.002324967,"domain_scores_codex":[0.9986753,0.0001158028,0.0002012972,0.0003528964,0.0003164491,0.0003382884],"domain_scores_gemma":[0.9995201,0.0001317712,0.0001506987,0.00006728699,0.000003665728,0.0001265165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004829601,0.0002035367,0.194164,0.000002284146,0.0000162312,0.000001270975,0.00001534702,0.02321742,0.3072184,0.00001144515,0.001388337,0.4732788],"study_design_scores_gemma":[0.0002970793,0.0009181948,0.9871737,0.000001962161,0.00002735985,0.00000231518,0.00003410262,0.003395174,0.005947952,0.00003846189,0.001968981,0.0001947383],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914478,0.00006813371,0.007058984,0.0002028394,0.00002923443,0.0006544505,0.0003721946,0.00005446561,0.0001118942],"genre_scores_gemma":[0.990428,0.000004518952,0.008075977,0.0001569191,0.0002055407,0.00006055358,0.0007674873,0.000002208147,0.0002988289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7930097,"threshold_uncertainty_score":0.3106134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01449730610451123,"score_gpt":0.2176427999233475,"score_spread":0.2031454938188363,"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."}}