{"id":"W2739634379","doi":"10.1016/j.foreco.2017.07.024","title":"Skid trail use influences soil carbon flux and nutrient pools in a temperate hardwood forest","year":2017,"lang":"en","type":"article","venue":"Forest Ecology and Management","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Forest Research Institute; Laurentian University; University of Toronto; Ministry of Natural Resources and Forestry","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Ontario Ministry of Natural Resources and Forestry","keywords":"Environmental science; Hardwood; Soil respiration; Biogeochemistry; Nutrient; Skid (aerodynamics); Soil water; Ecology; Soil carbon; Experimental forest; Agronomy; Soil science; 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":[0.0001920907,0.0001537581,0.000196762,0.00002927525,0.0003328582,0.0001876002,0.0001961214,0.0001134094,0.00001535862],"category_scores_gemma":[0.00003939388,0.00007259871,0.00003478098,0.00005891104,0.0001985677,0.0001673765,0.0002465658,0.00009837274,0.000004249522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002002287,"about_ca_system_score_gemma":0.000004456478,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001146694,"about_ca_topic_score_gemma":0.100634,"domain_scores_codex":[0.9990404,0.00004328343,0.0001819501,0.0003340059,0.00008865811,0.00031165],"domain_scores_gemma":[0.9996331,0.00006029037,0.00009304113,0.0001014902,0.0000199542,0.00009214072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000501361,0.00007280162,0.9895665,0.00001945993,0.00003132191,0.00005265504,0.00005730528,0.00002091251,0.0002291698,0.006031897,0.00006422614,0.0038036],"study_design_scores_gemma":[0.0005089519,0.0002062025,0.9923513,0.00001935776,0.00002620905,0.000007253738,0.0001543411,0.001149618,0.00004037001,0.003483125,0.001895192,0.0001581137],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967896,0.00008253305,2.084068e-7,0.0009358702,0.0001441923,0.0003659242,0.00001169954,0.00002564874,0.001644285],"genre_scores_gemma":[0.9980302,0.0008354189,0.00002933046,0.0003368872,0.00004491391,0.00009099372,0.00002203144,0.000001327421,0.0006088286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09948736,"threshold_uncertainty_score":0.915777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01547194020768098,"score_gpt":0.2192860296280141,"score_spread":0.2038140894203331,"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."}}