{"id":"W4388615834","doi":"10.3389/fsoil.2023.1285964","title":"Mitigating CO2 emissions from cultivated peatlands: Efficiency of straws and wood chips applications in maintaining carbon stock in two contrasting soils","year":2023,"lang":"en","type":"article","venue":"Frontiers in Soil Science","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Peat; Amendment; Soil water; Carbon dioxide; Environmental science; Soil carbon; Biomass (ecology); Greenhouse gas; Straw; Agronomy; Soil science; Chemistry; Ecology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001149726,0.0001492695,0.0002966434,0.0003055718,0.0001770434,0.00002970229,0.0003972776,0.000061401,0.00001214329],"category_scores_gemma":[0.0003025098,0.0001369812,0.00002136014,0.002376002,0.0007153546,0.0001742463,0.0002564908,0.0002542253,0.000001189636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002137353,"about_ca_system_score_gemma":0.00007175194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003669088,"about_ca_topic_score_gemma":0.003249156,"domain_scores_codex":[0.9979984,0.00007967596,0.0004370558,0.0005694226,0.0003065559,0.0006089368],"domain_scores_gemma":[0.9993296,0.000199369,0.0001386128,0.0001904712,0.000009531024,0.0001323686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007346943,0.00004486948,0.972626,0.000003812516,0.000001377344,0.000008329283,0.00245415,0.006472784,0.0161117,0.00001649333,0.00002206529,0.002231061],"study_design_scores_gemma":[0.0008725623,0.00002849562,0.8081216,0.00008652262,0.000003140162,0.000001123012,0.00390535,0.1844594,0.001336092,0.001021938,0.00001126439,0.0001524641],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965549,0.00004901272,0.0004832406,0.00008816307,0.00008870161,0.0002998189,0.00001298901,0.00003065341,0.002392529],"genre_scores_gemma":[0.9983249,0.00002531241,0.001512874,0.00001646018,0.0000141582,0.00005594733,0.00002171555,0.000007846992,0.00002084322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1779867,"threshold_uncertainty_score":0.5585929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01019536643856232,"score_gpt":0.2548218721527054,"score_spread":0.244626505714143,"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."}}