{"id":"W7098482481","doi":"","title":"U.S. Timber Production, Trade, Consumption, and Price Statistics","year":2001,"lang":"en","type":"article","venue":"","topic":"Botany, Ecology, and Taxonomy Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Government (linguistics); Boom; Logging; Wood production; Wood industry; Forest industry; Industrial production","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":[0.000636337,0.0006829457,0.0002638869,0.005492779,0.0005966344,0.001355702,0.0006574208,0.0004067264,0.0367834],"category_scores_gemma":[0.002673934,0.0003107465,0.0002354261,0.01514364,0.0001515694,0.0011755,0.0004566982,0.0007643455,0.02490332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001868584,"about_ca_system_score_gemma":0.002821766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0768843,"about_ca_topic_score_gemma":0.08522256,"domain_scores_codex":[0.9990554,0.00006555889,0.0001055594,0.00009795402,0.0006060472,0.00006949201],"domain_scores_gemma":[0.9970222,0.0003038057,0.0003480503,0.0001829041,0.002028492,0.0001145815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002892418,0.00004425739,0.007291017,0.0001428794,0.000008659233,0.00003740155,0.00007221793,0.0002042374,0.0001214777,0.001342649,0.9472902,0.04341597],"study_design_scores_gemma":[0.000009287564,0.0000282061,0.08254592,0.0001908768,0.00001569283,0.00006889263,0.0003363642,0.0002995435,0.0002788226,0.0006145143,0.9155928,0.00001907261],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01175277,0.003756091,0.0009323801,0.001937913,0.0009292984,0.0002002243,0.8310801,0.0009269798,0.1484843],"genre_scores_gemma":[0.03791993,0.01185262,0.003554452,0.0009435617,0.0003404316,0.0005267521,0.8009902,0.0002864903,0.1435856],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0768843,"threshold_uncertainty_score":0.1528736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03855649838909525,"score_gpt":0.2316848212403621,"score_spread":0.1931283228512669,"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."}}