{"id":"W3123310160","doi":"","title":"The zero discounting and maximin optimal paths in a simple model of global warming","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Stock (firearms); Economics; Minimax; Discounting; Exponential function; Global warming; Econometrics; Zero (linguistics); Mathematics; Microeconomics; Mathematical economics; Climate change; Ecology; Engineering; Mathematical analysis","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":[0.001118104,0.000869068,0.0009151475,0.0004482096,0.0007147064,0.001853396,0.001004645,0.001899563,0.005159613],"category_scores_gemma":[0.003831767,0.0007143632,0.001163441,0.0007378851,0.001670302,0.003050153,0.001246556,0.001674729,0.0003281904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001949295,"about_ca_system_score_gemma":0.0009159693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00569957,"about_ca_topic_score_gemma":0.003977873,"domain_scores_codex":[0.999673,0.000166431,0.000008700491,0.00006665241,0.00003026056,0.00005491245],"domain_scores_gemma":[0.9993557,0.0003634495,0.0001091177,0.00004386365,0.00004204554,0.00008573543],"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":[0.00009729486,0.00003949906,0.0004818372,0.00006168545,0.00002862136,0.0001384998,0.0002221321,0.3760323,0.0007452521,0.616242,0.0009379113,0.00497304],"study_design_scores_gemma":[0.00005442291,0.0000261956,0.0003013073,0.00002334823,0.0000149857,0.00004210874,0.00005269755,0.4234475,0.0001509343,0.5744917,0.001369203,0.00002558217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3777282,0.001505926,0.5836033,0.003260904,0.00007209134,0.0001034416,0.0006471832,0.0001686359,0.03291038],"genre_scores_gemma":[0.9296116,0.001214919,0.05507842,0.0001452823,0.00003531861,0.0001067078,0.0001789315,0.00006458886,0.01356419],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00569957,"threshold_uncertainty_score":0.01726061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04433558229232827,"score_gpt":0.2926548271721406,"score_spread":0.2483192448798124,"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."}}