{"id":"W4235989022","doi":"10.5194/soil-2019-58","title":"Short-and long-term temperature responses of soil denitrifier net N <sub>2</sub> O efflux rates, inter-profile N <sub>2</sub> O dynamics, and microbial genetic potentials","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Memorial University of Newfoundland; Canadian Forest Service","funders":"Canadian Forest Service; Division of Environmental Biology; Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service; National Science Foundation","keywords":"Environmental science; Soil water; Denitrification; Soil horizon; Taiga; Environmental chemistry; Ecology; Chemistry; Soil science; Nitrogen; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000148495,0.0002051312,0.0001684228,0.0001186097,0.0001609357,0.0002807688,0.0001688434,0.0001897138,0.0005752778],"category_scores_gemma":[0.0001899598,0.0001877448,0.0002337326,0.0001240943,0.0001900696,0.0003036481,0.0001794525,0.0003114868,0.0001236706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003649559,"about_ca_system_score_gemma":0.000133564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004360189,"about_ca_topic_score_gemma":0.006215181,"domain_scores_codex":[0.9999026,0.000008642221,0.00000634833,0.0000489218,0.00001358657,0.00001993909],"domain_scores_gemma":[0.9998073,0.00003082786,0.00005190662,0.00001913587,0.00005301885,0.00003776654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006828996,0.00007422209,0.04377845,0.00002746115,0.00006002267,0.0000226693,0.00008707442,0.0003458218,0.9518045,0.00004295363,0.00006067203,0.003013266],"study_design_scores_gemma":[0.00001466167,0.0003169992,0.9017382,0.000003639803,0.00004303755,0.00005181318,0.0001403115,0.002932919,0.093978,0.00008417796,0.0006847939,0.00001149091],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988917,0.00009496321,0.0004094088,0.00001062489,0.000006169749,0.000006414111,0.0002687779,0.000009500783,0.0003026202],"genre_scores_gemma":[0.9989312,0.00004175035,0.0002899066,0.00001456241,0.000002531344,0.00001385672,0.0003991426,0.00000652298,0.000300575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004360189,"threshold_uncertainty_score":0.008669615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172365827999934,"score_gpt":0.2235276157511641,"score_spread":0.2118039574711648,"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."}}