{"id":"W2258693818","doi":"","title":"An impact analysis of the impact of climate change and adaptation policies on the forestry sector in Quebec. A dyanamic macro-micro framework","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computable general equilibrium; Climate change; Economic impact analysis; Adaptation (eye); Forestry; Geography; Population; Goods and services; Climate change adaptation; Macro; Impact assessment; Business; Natural resource economics; Environmental resource management; Economics; Economy; Ecology; Political science","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":[0.000899419,0.0006549927,0.0006162567,0.0009829173,0.0009832793,0.001672875,0.001419624,0.001496782,0.005147165],"category_scores_gemma":[0.001987466,0.0003794441,0.0009032169,0.00136565,0.0009384602,0.0006982587,0.0007225654,0.00110334,0.0002237805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02022369,"about_ca_system_score_gemma":0.007206324,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9451993,"about_ca_topic_score_gemma":0.9036328,"domain_scores_codex":[0.9995529,0.0001298553,0.00001330924,0.00005119896,0.00005948406,0.0001932094],"domain_scores_gemma":[0.998795,0.0004714235,0.0001494841,0.00006296438,0.0003258075,0.0001953148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001092583,0.0001166348,0.01518479,0.00004305274,0.00009826483,0.0001771393,0.00002901134,0.9773241,0.0004285107,0.002894841,0.001405506,0.002188906],"study_design_scores_gemma":[0.00004870103,0.00008020114,0.03068263,0.0000200517,0.00006458414,0.00001866582,0.0002427387,0.9663972,0.0002223342,0.0006924979,0.001499012,0.00003143164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681351,0.0007754166,0.004179552,0.001430649,0.00004608266,0.0001465682,0.006325673,0.0001514322,0.01880951],"genre_scores_gemma":[0.9944273,0.0002203197,0.0009976317,0.0001148839,0.000007804436,0.00003810526,0.001149495,0.00002080492,0.003023554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05480069,"threshold_uncertainty_score":0.1467338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04209576001178766,"score_gpt":0.3417473818877395,"score_spread":0.2996516218759518,"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."}}