{"id":"W2087916776","doi":"10.1016/j.forpol.2007.11.004","title":"Responding to the Kyoto Protocol through forestry: A comparison of opportunities for several countries in Europe","year":2008,"lang":"en","type":"article","venue":"Forest Policy and Economics","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact; University of British Columbia; Environment and Climate Change Canada","funders":"Ministry of Earth Sciences; Ministry of Education, India; University of Victoria","keywords":"Kyoto Protocol; Sustainability; Incentive; Carbon sequestration; Natural resource economics; Business; Context (archaeology); Climate change; Land use, land-use change and forestry; Carbon offset; Afforestation; Environmental resource management; Environmental planning; Agriculture; Economics; Forestry; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001981582,0.0001252538,0.000188691,0.0001303245,0.0001859686,0.00003204071,0.0002336857,0.00004036488,0.0000699497],"category_scores_gemma":[0.00007203464,0.0001009961,0.00003106404,0.0002465504,0.0002694382,0.0002787168,0.000213688,0.00005568866,0.00004844023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006964823,"about_ca_system_score_gemma":0.00004430543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001793691,"about_ca_topic_score_gemma":0.002388119,"domain_scores_codex":[0.9991631,0.00002320348,0.000303419,0.0001684217,0.00005336723,0.0002884826],"domain_scores_gemma":[0.9995509,0.00008560129,0.0001103944,0.0001892991,0.000006574784,0.00005721091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007461238,0.00008852715,0.5418885,0.0001017369,0.00002215754,0.000003689623,0.01403916,0.04665799,0.000003730125,0.3156035,0.07991153,0.0009334158],"study_design_scores_gemma":[0.0005614913,0.0002153734,0.05411439,0.00001506259,0.000004289562,0.000004741778,0.0001479817,0.006764847,0.00003566539,0.002556593,0.93543,0.0001495017],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9585249,0.00000295826,0.00005399002,0.003284808,0.0000336538,0.01175581,0.00004826883,0.00001305153,0.02628251],"genre_scores_gemma":[0.9784451,0.00004785035,0.0006617098,0.001773551,0.0001980779,0.009019131,0.00001168284,0.00002446235,0.009818428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8555185,"threshold_uncertainty_score":0.4118502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08270773036153818,"score_gpt":0.3156425081694016,"score_spread":0.2329347778078635,"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."}}