{"id":"W3092160794","doi":"10.1177/1461444820924619","title":"Chilling effects and the stock market response to the Snowden revelations","year":2020,"lang":"en","type":"article","venue":"New Media & Society","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Harm; United States National Security Agency; Stock market; The Internet; Agency (philosophy); Revelation; Business; Stock (firearms); National security; Computer security; Advertising; Economics; Political science; Law; Computer science; Engineering; Sociology; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00122071,0.0001346163,0.0001567815,0.00001782613,0.0004468138,0.0002396964,0.0002488593,0.00004883868,0.0001791668],"category_scores_gemma":[0.001258501,0.00007988494,0.0001289363,0.0004735196,0.00007005844,0.0002101177,0.0002540702,0.000250272,0.00006078398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001183229,"about_ca_system_score_gemma":0.00003600933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000160436,"about_ca_topic_score_gemma":0.00008474094,"domain_scores_codex":[0.999112,0.00007764425,0.0001588132,0.0002155196,0.0002353333,0.0002007496],"domain_scores_gemma":[0.9980766,0.001561834,0.00007330257,0.0002046597,0.00004434056,0.00003928871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001339204,0.000019661,0.03689318,0.0001910034,0.0001175325,0.000005471363,0.03166891,0.00002872418,0.001076104,0.0005897026,0.8235412,0.1045293],"study_design_scores_gemma":[0.002235345,0.000008046612,0.4675483,0.0000631693,0.0003326984,0.000001592993,0.001589247,0.005906253,0.00001201772,0.0003080876,0.5217347,0.0002605193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8043956,0.001153784,0.00121242,0.1885526,0.000604118,0.001135383,0.000003615068,0.0001644499,0.002778028],"genre_scores_gemma":[0.972602,0.00007868989,0.0004239922,0.02454518,0.001816747,0.00003801138,0.000005094894,0.00002513438,0.0004651643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4306552,"threshold_uncertainty_score":0.3436575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02144519731133577,"score_gpt":0.2310173784480977,"score_spread":0.2095721811367619,"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."}}