{"id":"W2309767280","doi":"10.2139/ssrn.2474255","title":"Social Screens and Systematic Boycott Risk","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Boycott; Political science; Business; Law; Politics","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":[0.0008241322,0.0002046975,0.0003240921,0.000768977,0.0005058154,0.001456352,0.0002309716,0.001146809,0.01084139],"category_scores_gemma":[0.01245463,0.0001623695,0.0002049361,0.0006984283,0.001202372,0.001061089,0.0006787646,0.00113201,0.0003993975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006385932,"about_ca_system_score_gemma":0.0003992449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004984468,"about_ca_topic_score_gemma":0.005111166,"domain_scores_codex":[0.9995346,0.0001662969,0.00002326589,0.00005709946,0.0001021484,0.0001166259],"domain_scores_gemma":[0.9784085,0.008872716,0.009807733,0.0006607497,0.0007963853,0.00145398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001431033,0.0005857552,0.585767,0.0001921031,0.0003740314,0.002498691,0.002405864,0.01504424,0.001662799,0.2914329,0.01660296,0.08200265],"study_design_scores_gemma":[0.0002519339,0.0009460805,0.5159919,0.0001547592,0.000279855,0.001875971,0.003445581,0.06594038,0.001195604,0.3986758,0.01111603,0.0001260303],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971414,0.001487907,0.003967078,0.00341249,0.00003603309,0.00002533877,0.00024863,0.00004357248,0.01936488],"genre_scores_gemma":[0.9980001,0.0001779531,0.00005899227,0.00004242875,0.00002351965,0.000003097046,0.0000195558,0.000001805442,0.001672441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01084139,"threshold_uncertainty_score":0.03626812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01149445741987535,"score_gpt":0.1984942801216989,"score_spread":0.1869998227018235,"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."}}