{"id":"W2007936856","doi":"10.1007/s10584-006-9108-4","title":"The coupling of optimal economic growth and climate dynamics","year":2006,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Merge (version control); Computer science; Climate change; Oracle; Implementation; Climate model; Mathematical optimization; Operations research; Environmental science; Econometrics; Climatology; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00258933,0.0003939831,0.001011801,0.0006798364,0.000533005,0.003495407,0.0006980368,0.001628525,0.005969042],"category_scores_gemma":[0.0272265,0.0008294865,0.000443665,0.0008443507,0.002123148,0.005062178,0.001787395,0.002010165,0.0002672282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00168168,"about_ca_system_score_gemma":0.00137001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007805549,"about_ca_topic_score_gemma":0.004632066,"domain_scores_codex":[0.9990655,0.0004714008,0.00004180477,0.0001753615,0.00008544195,0.0001606035],"domain_scores_gemma":[0.9869588,0.01026276,0.001445261,0.0004064557,0.0003780186,0.0005486333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001435064,0.00007380177,0.005842336,0.0001192245,0.0001056568,0.0001724154,0.0002843176,0.2893985,0.0006115643,0.6901819,0.003845072,0.009221756],"study_design_scores_gemma":[0.00003054817,0.00001511591,0.004000833,0.00001697318,0.00001837799,0.0000450761,0.0001485706,0.1789282,0.00008513339,0.8156308,0.00105999,0.00002033745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7353548,0.00343956,0.1730903,0.02160764,0.0003501626,0.00003841057,0.0005167266,0.0002415741,0.06536067],"genre_scores_gemma":[0.9953712,0.0006311616,0.001769712,0.000185324,0.00008820491,0.0000110991,0.00004442939,0.00002740778,0.001871521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007805549,"threshold_uncertainty_score":0.01996845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06178458832817429,"score_gpt":0.2402687821094023,"score_spread":0.178484193781228,"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."}}