{"id":"W2049450365","doi":"10.1007/s10287-007-0041-4","title":"How Crucial is Cooperation in Mitigating World Climate? Analysis with World-MARKAL","year":2007,"lang":"en","type":"article","venue":"Computational Management Science","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Group for Research in Decision Analysis; Université du Québec à Montréal","funders":"","keywords":"Damages; Computer science; Work (physics); Payment; Nash equilibrium; Stability (learning theory); Operations research; Economics; sort; Greenhouse gas; Mathematical optimization; Mathematical economics; Mathematics; 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":[0.001452917,0.0001283522,0.0002384369,0.00244151,0.0002869799,0.0004357655,0.0002912185,0.0000175489,0.0001463379],"category_scores_gemma":[0.00002390978,0.0001473248,0.00005556659,0.004308574,0.0001901037,0.0007251776,0.0001321143,0.00008042748,0.00008111557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002651465,"about_ca_system_score_gemma":0.00001230338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006398535,"about_ca_topic_score_gemma":0.00203555,"domain_scores_codex":[0.9984573,0.000005231957,0.0004477889,0.0005410012,0.00009706465,0.0004516419],"domain_scores_gemma":[0.9993808,0.00006899771,0.000250369,0.0001747879,0.00004288919,0.00008210806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002413336,0.00005981097,0.3156706,0.00002863821,0.00006320317,0.000008898086,0.0004765083,0.0493639,0.00000222863,0.6327925,0.0001093809,0.00140022],"study_design_scores_gemma":[0.0006914551,0.00002757145,0.7294245,0.00003000835,0.00002796494,0.000001139624,0.0003858743,0.2453456,0.00003374634,0.02117761,0.00246744,0.0003870185],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7756243,0.0001069736,0.1127089,0.004309594,0.0003323424,0.0004728661,0.0001005246,0.00005594785,0.1062886],"genre_scores_gemma":[0.9840413,0.00001591845,0.01398762,0.001043329,0.00006941805,0.00001306107,0.00003867901,0.000008783805,0.0007818918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6116149,"threshold_uncertainty_score":0.6007733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04873821126700567,"score_gpt":0.2653116130832682,"score_spread":0.2165734018162625,"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."}}