{"id":"W2582361942","doi":"","title":"Connections between Climate Policy and Forests in the Western Climate Initiative Cap-and-Trade System","year":2009,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Queen's University","keywords":"Climate change; Climate policy; Geography; Environmental resource management; Environmental science; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.00008409817,0.0001593748,0.0001630684,0.0001833767,0.0002912017,0.0000881379,0.0002602106,0.00006945025,0.00005530264],"category_scores_gemma":[0.000007111535,0.0001397868,0.00003798248,0.0005194886,0.0001776584,0.001169466,0.0002933636,0.0001549651,0.0001395002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008330167,"about_ca_system_score_gemma":0.0000108811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003513095,"about_ca_topic_score_gemma":0.0004018621,"domain_scores_codex":[0.9989644,0.0001527433,0.0001034215,0.0002607376,0.0001392164,0.0003795095],"domain_scores_gemma":[0.999512,0.0001100182,0.00007437646,0.0001931149,0.000001277148,0.0001091905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002790361,0.00002784456,0.9361056,0.00003173936,0.00001247663,0.00006263761,0.001885911,0.00004976152,6.379229e-7,0.02751174,0.03397497,0.0003087782],"study_design_scores_gemma":[0.0003979128,0.0001046218,0.9166925,0.00003557742,0.00003137789,0.000001227614,0.0007398337,0.00003166187,0.000009943253,0.0001770528,0.08160747,0.0001708478],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7642356,0.00000658352,0.00001749241,0.1339999,0.00002222427,0.0004265828,0.000065008,0.0001499529,0.1010767],"genre_scores_gemma":[0.9946526,0.0001997485,0.0000855316,0.0009548544,0.00005592271,8.004997e-7,0.00002199186,0.000009426199,0.004019085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2304171,"threshold_uncertainty_score":0.570034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009635333582029173,"score_gpt":0.2060404955473279,"score_spread":0.1964051619652987,"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."}}