{"id":"W2523114968","doi":"10.5167/uzh-139212","title":"Mitigating Global Warming: A Real Options Approach","year":2017,"lang":"en","type":"article","venue":"Zurich Open Repository and Archive (University of Zurich)","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Global warming; Climate change; Scope (computer science); Natural resource economics; Adaptation (eye); Investment (military); Tipping point (physics); Environmental science; Climate change mitigation; Environmental resource management; Product (mathematics); Gross domestic product; Environmental economics; Economics; Business; Computer science; Engineering; Macroeconomics; Ecology","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":[0.003749943,0.002168769,0.002199239,0.001591815,0.0007381285,0.004782561,0.003208065,0.006991179,0.01398953],"category_scores_gemma":[0.008638287,0.00126647,0.001996162,0.001615049,0.002028351,0.005528326,0.002680021,0.005075091,0.0005770912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001793436,"about_ca_system_score_gemma":0.002014033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003617536,"about_ca_topic_score_gemma":0.002631675,"domain_scores_codex":[0.9979357,0.001378414,0.00006164271,0.0002385408,0.0002517951,0.0001338971],"domain_scores_gemma":[0.9965933,0.002665905,0.0002534659,0.00009882191,0.0001818697,0.0002067008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006685851,0.00008453973,0.000214684,0.0001269111,0.0001406711,0.0002061154,0.00005568594,0.7393658,0.0002616768,0.2504345,0.001871184,0.007171497],"study_design_scores_gemma":[0.0000366551,0.00004590127,0.0001008338,0.00005665063,0.00005933866,0.00004093632,0.00006271005,0.7219041,0.00008717869,0.2747608,0.002816709,0.00002824981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04058328,0.007350197,0.8323696,0.02446545,0.001388764,0.0001720942,0.0008762198,0.000235643,0.0925586],"genre_scores_gemma":[0.8872207,0.00531028,0.06737757,0.001056402,0.001394323,0.0003578474,0.0003176598,0.0001593267,0.03680586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01398953,"threshold_uncertainty_score":0.04679966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07713294908182429,"score_gpt":0.2481300829198096,"score_spread":0.1709971338379854,"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."}}