{"id":"W3183493121","doi":"10.33915/etd.7291","title":"CHANGES IN BEST MANAGEMENT PRACTICES MONITORING AND ENFORCEMENT AND THEIR IMPACT ON FORESTRY IN WEST VIRGINIA","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"West virginia; Forestry; Enforcement; Business; Logging; Geography; Political science; Archaeology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008766268,0.00008720179,0.0001193852,0.001265069,0.00125968,0.002240771,0.0006450748,0.0002742729,0.001135641],"category_scores_gemma":[0.003671764,0.000126022,0.0001397079,0.001596443,0.0005175676,0.0006427401,0.0009111888,0.0004291829,0.0001427702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005548712,"about_ca_system_score_gemma":0.005484664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3653467,"about_ca_topic_score_gemma":0.6385901,"domain_scores_codex":[0.998589,0.000295727,0.00006581732,0.0001540657,0.0003830297,0.0005122445],"domain_scores_gemma":[0.997338,0.0004016536,0.0008284105,0.0001024614,0.0008983474,0.0004311053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000105703,0.0003743245,0.8735942,0.00005812984,0.00004956547,0.0003672986,0.007811786,0.001082749,0.001563406,0.001851335,0.003667639,0.1094739],"study_design_scores_gemma":[0.000002152731,0.00008223843,0.9782613,0.00006261921,0.00001158255,0.00006357827,0.01085781,0.0003638343,0.0004739401,0.0001590163,0.009654212,0.000007735888],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992672,0.0002143063,0.0001154884,0.0003615329,0.00001060113,0.00001996569,0.000181662,0.000009479808,0.006414977],"genre_scores_gemma":[0.996462,0.0002998324,0.0001974483,0.0001089291,0.000004528084,0.00001171072,0.00018875,0.000003456263,0.002723335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3653467,"threshold_uncertainty_score":0.7264402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01869305122742217,"score_gpt":0.2955558228282269,"score_spread":0.2768627716008047,"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."}}