{"id":"W3091228208","doi":"10.2139/ssrn.869738","title":"Climate Policy and the Optimal Extraction of High- and Low-Carbon Fossil Fuels","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Fossil fuel; Climate policy; Extraction (chemistry); Natural resource economics; Climate change; Carbon fibers; Environmental science; Economics; Waste management; Chemistry; Materials science; Geology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001738918,0.0001284302,0.000326642,0.0001976826,0.0001651487,0.00007418332,0.0001211808,0.00008167259,0.00002506402],"category_scores_gemma":[0.00007616702,0.0001140355,0.00007374446,0.0000912321,0.000143706,0.0002505308,0.00005412236,0.0005716078,0.0000138683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003442915,"about_ca_system_score_gemma":0.0001021323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005763024,"about_ca_topic_score_gemma":0.0005482752,"domain_scores_codex":[0.9982319,0.00001957961,0.0005107578,0.0001826228,0.00002378348,0.001031353],"domain_scores_gemma":[0.9992442,0.00008269543,0.00045874,0.0001367659,0.00001579456,0.00006180409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001446902,0.00003076588,0.001735251,0.00001518871,0.00007082731,2.534919e-7,0.0004484641,0.00007100585,0.00004049694,0.9845581,0.000006357966,0.01287859],"study_design_scores_gemma":[0.005799971,0.0003269222,0.009069579,0.00003370457,0.0000424377,0.000767532,0.001279967,0.008133773,0.0002784456,0.9701217,0.003722744,0.0004232165],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794322,0.01173533,0.0002127895,0.004984013,0.00009680803,0.00009616302,0.00002916289,0.000008522921,0.003405028],"genre_scores_gemma":[0.9265001,0.07242439,0.00008016435,0.0001206574,0.000649776,0.000004737984,0.000001455635,0.00001689285,0.0002018499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06068905,"threshold_uncertainty_score":0.4650233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01845167676933206,"score_gpt":0.2400663032752551,"score_spread":0.221614626505923,"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."}}