{"id":"W7132905535","doi":"","title":"Soil Methane Dynamics of Skid Trails and Landings in Managed Northern Hardwood Forests","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Soil water; Skid (aerodynamics); Sink (geography); Hydrology (agriculture); Temperate climate; Soil horizon; Spatial variability","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003347509,0.0004485539,0.0006148082,0.0007283954,0.00007244074,0.00004693185,0.0002755338,0.0002295191,0.0009052484],"category_scores_gemma":[0.00006225621,0.0005437561,0.0001266407,0.0007225411,0.00004764729,0.0001077623,0.0001087005,0.0003741762,0.00001010671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003048837,"about_ca_system_score_gemma":0.00004163775,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001448001,"about_ca_topic_score_gemma":0.1994731,"domain_scores_codex":[0.9980681,0.00007639303,0.0005805824,0.0004608222,0.0004068027,0.000407303],"domain_scores_gemma":[0.9991621,0.00006789567,0.0002701957,0.0003411144,0.000049585,0.0001090458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001967143,0.001557485,0.3111668,0.04511411,0.00361654,0.0005108957,0.2084936,0.2250904,0.005787613,0.1217199,0.001490399,0.07348512],"study_design_scores_gemma":[0.009768477,0.000765327,0.4188028,0.001683235,0.001143602,0.00001866079,0.0991507,0.4500845,0.004053712,0.003272537,0.007836451,0.003419924],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769299,0.001255514,0.001149073,0.0003268323,0.000653411,0.0008925975,0.00004995654,0.00008446698,0.01865827],"genre_scores_gemma":[0.9799094,0.0009669114,0.0001750151,0.00001408088,0.00002021012,0.00009199256,0.001533828,0.0001131942,0.01717536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2249941,"threshold_uncertainty_score":0.9997014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009055389438289237,"score_gpt":0.2692551525095521,"score_spread":0.2601997630712629,"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."}}