{"id":"W2109013657","doi":"10.5558/tfc81669-5","title":"Impacts of climate change on forest product markets: Implications for North American producers","year":2005,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Environmental Protection Agency; U.S. Department of Energy","keywords":"Climate change; Productivity; Forest product; Agroforestry; Geography; Agricultural economics; Natural resource economics; Environmental science; Forest management; Ecology; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000224689,0.0001458148,0.0001315875,0.00003231051,0.0001910521,0.00001832186,0.0004224128,0.00001443316,0.0001584709],"category_scores_gemma":[0.00004221487,0.0001022649,0.00007532731,0.0003637378,0.0003615441,0.000202922,0.000156508,0.00007546124,0.00031304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001711315,"about_ca_system_score_gemma":0.00001387038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005594084,"about_ca_topic_score_gemma":0.004477492,"domain_scores_codex":[0.9988958,0.0000244341,0.0001947882,0.0002737651,0.0001384102,0.000472827],"domain_scores_gemma":[0.9990349,0.00005044224,0.0001742508,0.0006574262,0.000008519744,0.00007448532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001742294,0.0002083855,0.852988,0.00005414844,0.00002554093,1.822606e-7,0.0004614622,0.002906809,0.0001724947,0.00231494,0.0292604,0.1114334],"study_design_scores_gemma":[0.0002869057,0.000225223,0.9573636,0.000009648581,0.00002294935,0.000001425882,0.000009335838,0.001066848,0.0003155865,0.0001565225,0.04041288,0.0001290428],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984074,0.00004161336,0.000004055895,0.009169263,0.00003760088,0.00114618,0.00008163932,0.00004606194,0.005399617],"genre_scores_gemma":[0.998144,0.0001445464,0.000238297,0.0005511624,0.0003486947,0.0002670722,0.0000317672,0.00002468732,0.0002497523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1113044,"threshold_uncertainty_score":0.4170241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01943275022990275,"score_gpt":0.2723076916922139,"score_spread":0.2528749414623112,"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."}}