{"id":"W2396727245","doi":"10.1093/forestscience/52.4.422","title":"Incidence of the 1996 U.S.–Canada Softwood Lumber Agreement among Landowners, Loggers, and Lumber Manufacturers in the U.S. South","year":2006,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"U.S. Forest Service; Auburn University","keywords":"Softwood; Beneficiary; Agricultural economics; Logging; Business; Agricultural science; Forestry; Economics; Geography; Pulp and paper industry; Engineering; Environmental science; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001123385,0.0001054654,0.0001548249,0.0009607473,0.002694919,0.001646194,0.000538318,0.0009347537,0.005007699],"category_scores_gemma":[0.003020722,0.0001952004,0.0001426454,0.001306799,0.001231442,0.0005586213,0.001233034,0.001512181,0.0003491683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01414198,"about_ca_system_score_gemma":0.02293877,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.91897,"about_ca_topic_score_gemma":0.9785948,"domain_scores_codex":[0.9989207,0.00007954008,0.00005117288,0.0001017477,0.0003317643,0.0005151526],"domain_scores_gemma":[0.9952231,0.0007255781,0.001325892,0.00009872916,0.001208721,0.001418016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002384726,0.0001009981,0.9263521,0.00006331188,0.00002397213,0.0005312669,0.009735296,0.0003181052,0.001107299,0.00459446,0.03292214,0.02401254],"study_design_scores_gemma":[0.000008200435,0.00003099047,0.9579153,0.00007056975,0.000006737734,0.0001261763,0.02145393,0.0003178495,0.0005068103,0.0002250782,0.01932278,0.00001569344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778386,0.0002738749,0.00006145262,0.003416408,0.0000250364,0.00003676138,0.00104211,0.00001045328,0.01729538],"genre_scores_gemma":[0.9836379,0.000404822,0.0001153079,0.001354819,0.000009618525,0.0000255029,0.0008000706,0.000004237654,0.01364772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08103001,"threshold_uncertainty_score":0.1630144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003161700665038159,"score_gpt":0.1784244059388723,"score_spread":0.1752627052738342,"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."}}