{"id":"W1827428878","doi":"10.1139/cjfr-2012-0139","title":"How to cope with changing demand conditions — The Swedish forest sector as a case study: an analysis of major drivers of change in the use of wood resources","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Skogforsk; Stiftelsen för Miljöstrategisk Forskning","keywords":"Forest product; Forest management; Natural resource economics; European union; Biomass (ecology); Resource (disambiguation); Wood processing; Supply and demand; Product (mathematics); Business; Renewable energy; Renewable resource; Wood production; Ecosystem services; Econometric model; Consumption (sociology); Economics; Agroforestry; Forestry; Environmental science; Ecosystem; Ecology; Geography; International trade","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001116099,0.0002996606,0.0002786264,0.000617826,0.001655238,0.00466825,0.0005381051,0.002240231,0.001385121],"category_scores_gemma":[0.001164569,0.0001803887,0.000540712,0.001742158,0.0008714678,0.00153673,0.001119884,0.0007938778,0.0002866665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003104737,"about_ca_system_score_gemma":0.002816033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04498521,"about_ca_topic_score_gemma":0.07144947,"domain_scores_codex":[0.9992987,0.0003241821,0.00002189101,0.00004173669,0.00008464162,0.0002287973],"domain_scores_gemma":[0.9994462,0.0002694457,0.0000738386,0.00002688459,0.00007932165,0.0001041734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001050938,0.001671333,0.2764827,0.001093245,0.0003915406,0.0271311,0.02909875,0.2981939,0.008352058,0.168775,0.02676732,0.1609921],"study_design_scores_gemma":[0.0001461956,0.001175435,0.1572004,0.0006379259,0.0002358625,0.004227592,0.4219356,0.1936729,0.003628287,0.05768896,0.1591362,0.0003145954],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768752,0.0008880948,0.001562952,0.002295079,0.00003430475,0.00003770451,0.0001347206,0.00001384043,0.01815813],"genre_scores_gemma":[0.9951657,0.0009220157,0.001496855,0.0001256906,0.00001064421,0.00001289369,0.0001561333,0.000009534015,0.002100411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04498521,"threshold_uncertainty_score":0.08944672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09743976200216345,"score_gpt":0.3215131315612083,"score_spread":0.2240733695590448,"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."}}