{"id":"W2888844988","doi":"10.1186/s13717-018-0142-8","title":"Extrapolating plot-scale CO2 and ozone enrichment experimental results to novel conditions and scales using mechanistic modeling","year":2018,"lang":"en","type":"article","venue":"Ecological Processes","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Brookhaven National Laboratory; Canadian Forest Service; Northern Research Station; U.S. Forest Service; U.S. Department of Agriculture; Office of Science; Michigan Technological University; U.S. Department of Energy","keywords":"Ecological succession; Environmental science; Ozone; Atmospheric sciences; Climate change; Photosynthetic capacity; Competition (biology); Ecology; Photosynthesis; Climatology; Biology; Botany; Geography; Meteorology; 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":[0.0001811938,0.0001715667,0.0001985265,0.00002172683,0.0006098502,0.0001166877,0.0001146731,0.0001080402,0.0001072338],"category_scores_gemma":[0.0004473851,0.00007620018,0.00001824632,0.0002823838,0.0001390131,0.0001354674,0.0001715125,0.00008927806,0.00001356104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003911909,"about_ca_system_score_gemma":0.00001533568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007067437,"about_ca_topic_score_gemma":0.000428547,"domain_scores_codex":[0.9986984,0.00004055933,0.0002635011,0.0004610548,0.0001585698,0.0003779099],"domain_scores_gemma":[0.9991433,0.0004285677,0.00007086773,0.00003706764,0.0001059433,0.0002142566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001875983,0.0002316942,0.0004924263,0.00001136358,0.000007781006,0.000004366505,0.0001679744,0.00009709087,0.9981461,0.0001214938,0.0000256881,0.0005063842],"study_design_scores_gemma":[0.006794477,0.02039223,0.2151794,0.0009551726,0.0002740448,0.00112197,0.01588973,0.3162917,0.4022674,0.009335814,0.006397062,0.005101106],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983364,0.0002326217,0.0002758038,0.0003165643,0.00004258391,0.0002740085,0.0001691285,0.0001026357,0.000250289],"genre_scores_gemma":[0.9970617,0.00002851936,0.002383371,0.0002792374,0.0001470361,0.00002887584,0.00003464861,0.000001514626,0.00003514878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5958788,"threshold_uncertainty_score":0.4690536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04848446480955249,"score_gpt":0.2778764998769734,"score_spread":0.229392035067421,"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."}}