{"id":"W3121171726","doi":"","title":"Unilateral Emissions Mitigation, Spillovers, and Global Learning","year":2013,"lang":"en","type":"preprint","venue":"Singapore Management University Institutional Knowledge (InK) (Singapore Management University)","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Commit; Convergence (economics); Global warming; Preference; Economics; Carbon leakage; Climate policy; Greenhouse gas; Climate change mitigation; Climate change; Global climate; Natural resource economics; Business; Economic growth; Microeconomics; Computer science","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":[0.002058496,0.0002395185,0.0005276622,0.0006077723,0.0009756219,0.002821618,0.0007094865,0.001940665,0.01053858],"category_scores_gemma":[0.006296199,0.0001488461,0.0006871975,0.0007501656,0.005430076,0.005166461,0.0032114,0.001709762,0.0003119144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002404303,"about_ca_system_score_gemma":0.001188895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004050585,"about_ca_topic_score_gemma":0.004081203,"domain_scores_codex":[0.9992404,0.000234079,0.00002998924,0.0001793887,0.00009878379,0.0002174179],"domain_scores_gemma":[0.9966454,0.00160918,0.000976594,0.0003267066,0.0001510134,0.0002911076],"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":[0.00004062632,0.00005601238,0.005191346,0.0000685274,0.00003056084,0.00009377722,0.0002413301,0.01474753,0.0003199411,0.9608666,0.001315557,0.01702828],"study_design_scores_gemma":[0.00002398241,0.00002414287,0.005564952,0.00004258168,0.00002657628,0.0000474183,0.000412115,0.007868655,0.0004312537,0.9800333,0.005506103,0.00001886904],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6402484,0.002735506,0.05042614,0.0678574,0.0001740566,0.00005474757,0.0003387805,0.0001501768,0.2380148],"genre_scores_gemma":[0.9938741,0.0004964841,0.0008511186,0.0007166697,0.00006098835,0.0000152512,0.00002079797,0.000004599427,0.003959968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01053858,"threshold_uncertainty_score":0.03525507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03338881914965464,"score_gpt":0.2130173250731693,"score_spread":0.1796285059235146,"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."}}