{"id":"W2792872781","doi":"10.1177/1086026618773985","title":"Fossil Fuel Divestment Strategies: Financial and Carbon-Related Consequences","year":2018,"lang":"en","type":"article","venue":"Organization & Environment","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Divestment; Economics; Stock (firearms); Investment (military); Empirical research; Index (typography); Financial crisis; Business; Monetary economics; Finance; Macroeconomics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001443612,0.0001392674,0.0002000368,0.00007805067,0.0001425761,0.00008370701,0.00009685741,0.0001021402,0.00194877],"category_scores_gemma":[0.00004569294,0.000166309,0.00001809398,0.0001121106,0.0002996342,0.0001661857,0.0000836064,0.00005835782,0.0007017452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001420756,"about_ca_system_score_gemma":0.00001989279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001528669,"about_ca_topic_score_gemma":0.00002272823,"domain_scores_codex":[0.9990213,0.000008749827,0.0003851239,0.0003475385,0.00002425761,0.0002130326],"domain_scores_gemma":[0.9994983,0.00001439105,0.0002069419,0.0001939609,0.000008912966,0.00007746176],"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":[0.00001624316,0.0002254265,0.1668407,0.00006050845,0.0000924069,0.000006584161,0.01119859,0.0001842367,0.001005782,0.8190825,0.0006458002,0.0006412029],"study_design_scores_gemma":[0.002985557,0.0007234826,0.5000141,0.00004682803,0.00005757794,0.00004735648,0.002456832,0.00290245,0.003613999,0.3758335,0.1095284,0.001789812],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816615,0.001116181,0.0004944503,0.00137045,0.0003147021,0.0001907262,0.00009013806,0.00004132851,0.01472054],"genre_scores_gemma":[0.997174,0.001682807,0.0002321182,0.0003280177,0.0001435999,0.000009163448,0.00003085762,0.00002346398,0.0003760372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4432489,"threshold_uncertainty_score":0.9989636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02889595582914648,"score_gpt":0.2004842800887629,"score_spread":0.1715883242596164,"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."}}