{"id":"W2966234459","doi":"10.5194/acp-20-2123-2020","title":"A model-based analysis of foliar NO <sub> <i>x</i> </sub> deposition","year":2020,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Climate Program Office; University of Toronto; National Centers for Environmental Information; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"NOx; Canopy; Deposition (geology); Tree canopy; Atmospheric sciences; Environmental science; Nitrogen; Chemistry; Hydrology (agriculture); Environmental chemistry; Botany; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002840211,0.0001134927,0.0002021022,6.162951e-8,0.00005635712,0.00001659105,0.0001007307,0.00006703085,0.00005671093],"category_scores_gemma":[0.00001339163,0.00005661022,0.0001188179,0.0006237639,0.00004129272,0.0000456739,0.00002042778,0.00007375315,0.000005120924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007372932,"about_ca_system_score_gemma":0.00001067003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001668869,"about_ca_topic_score_gemma":0.000003990456,"domain_scores_codex":[0.9993882,0.00001665257,0.0001305264,0.0002132515,0.0001220578,0.0001293517],"domain_scores_gemma":[0.9996461,0.00008650144,0.00007580303,0.00004397261,0.00005056448,0.00009710984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009888409,0.00004044381,0.0004392796,0.00002194613,0.0000886199,0.000002110865,0.00001735288,0.006009956,0.9374958,0.000007352409,0.00008145062,0.0556968],"study_design_scores_gemma":[0.00007225075,0.00003381872,0.001044404,0.000005885262,0.0001872907,4.399456e-7,0.000006224686,0.5187119,0.4796576,0.00004792605,0.0001312832,0.0001009835],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997801,0.00005835139,0.001314512,0.0001595897,0.000003634717,0.0000423474,0.00009093994,0.0000359224,0.0004936976],"genre_scores_gemma":[0.9985976,0.0000373065,0.0007092308,0.0003990254,0.00007147338,0.000005007564,0.0001494454,8.42478e-7,0.0000301149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5127019,"threshold_uncertainty_score":0.2308498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009613515579448145,"score_gpt":0.1829084592924772,"score_spread":0.173294943713029,"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."}}