{"id":"W2587123046","doi":"10.1017/s0022109016000910","title":"Social Screens and Systematic Investor Boycott Risk","year":2017,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":201,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Boycott; Risk premium; Neglect; Systematic risk; Business; Momentum (technical analysis); Investor behavior; Financial economics; Stock (firearms); Investor profile; Economics; Monetary economics; Behavioral economics; Finance","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":[0.0007713049,0.0005801235,0.0003086504,0.000537045,0.0003396183,0.001823926,0.0005615414,0.001468592,0.003854258],"category_scores_gemma":[0.004618797,0.0002310749,0.0003980132,0.0003499588,0.001297208,0.001829911,0.0009440927,0.0009628825,0.0003588225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001041656,"about_ca_system_score_gemma":0.0006099824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005034255,"about_ca_topic_score_gemma":0.003222106,"domain_scores_codex":[0.9995536,0.0001331761,0.00001423414,0.00006085595,0.0001004767,0.0001377505],"domain_scores_gemma":[0.9969401,0.0008371216,0.001563852,0.000165334,0.0002061478,0.000287344],"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":[0.0002076848,0.0002435381,0.0273519,0.00005181372,0.00007758439,0.001178245,0.0004730553,0.3269385,0.002677039,0.6204805,0.003024681,0.01729545],"study_design_scores_gemma":[0.0001019781,0.0002567881,0.008147269,0.00003438534,0.00006536426,0.0003032091,0.0002297555,0.7527329,0.0008804523,0.2340449,0.003151052,0.00005187878],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8448093,0.0005829228,0.1008985,0.003064966,0.00005517788,0.000109346,0.0002195778,0.0001394843,0.05012076],"genre_scores_gemma":[0.9937011,0.0001392105,0.0008883199,0.00005120434,0.00002116379,0.00001428826,0.00001622008,0.00000482771,0.005163652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005034255,"threshold_uncertainty_score":0.01289374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03742399774362602,"score_gpt":0.2747313252104153,"score_spread":0.2373073274667893,"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."}}