{"id":"W2905203037","doi":"10.1007/s11273-018-9649-0","title":"Temperature responses of carbon dioxide fluxes from coarse dead wood in a black ash wetland","year":2018,"lang":"en","type":"article","venue":"Wetlands Ecology and Management","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thompson Rivers University","funders":"U.S. Forest Service; Michigan Technological University","keywords":"Emerald ash borer; Environmental science; Wetland; Agrilus; Carbon dioxide; Infestation; Ecosystem respiration; Ecosystem; Flux (metallurgy); Ecology; Fraxinus; Agronomy; Biology; Primary production; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001745906,0.0001233223,0.0002332312,0.00003743585,0.00014522,0.000008589972,0.000141697,0.0001608045,0.0001181511],"category_scores_gemma":[0.00002130522,0.00005532034,0.00003334954,0.0001526024,0.0003919881,0.00003526388,0.0002310812,0.00008724556,0.00001542455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001309376,"about_ca_system_score_gemma":0.000002720424,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003650842,"about_ca_topic_score_gemma":0.04135439,"domain_scores_codex":[0.9991909,0.000076683,0.0001608092,0.0002782073,0.00006501135,0.0002283793],"domain_scores_gemma":[0.9996548,0.0001628681,0.00006264287,0.00005335434,0.00002919781,0.00003709949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000423288,0.0001238037,0.9899231,0.00001440614,0.0001008084,0.00004575403,0.0003076292,4.2782e-7,0.006730532,0.0002856056,0.001140613,0.0009040359],"study_design_scores_gemma":[0.0005377106,0.0006105133,0.9919504,0.00001742788,0.00003403635,0.000001476477,0.0009359772,0.000007383839,0.001119014,0.000870966,0.003799811,0.0001152869],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957079,0.00008482942,5.46873e-8,0.001388549,0.0001420525,0.0002053246,0.00004356013,0.00002000042,0.002407757],"genre_scores_gemma":[0.9980704,0.0004991969,0.00004690141,0.0003510983,0.00008004754,0.0000111234,0.00003451588,5.175979e-7,0.0009062669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0409893,"threshold_uncertainty_score":0.9761384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011401803307171,"score_gpt":0.2034690240320182,"score_spread":0.1920672207248472,"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."}}