{"id":"W3132798273","doi":"10.21810/jicw.v2i2.1058","title":"#FakeNews","year":2019,"lang":"en","type":"article","venue":"The Journal of Intelligence Conflict and Warfare","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Misinformation; Reputation; Internet privacy; Government (linguistics); Fake news; Political science; Dissemination; Computer security; Public relations; Advertising; Business; Computer science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005949989,0.00007831817,0.0001239121,0.00006609617,0.00007723134,0.00007979587,0.0006212443,0.00003506554,0.00005138499],"category_scores_gemma":[0.000033193,0.0000447935,0.00005052043,0.0001672819,0.00003696057,0.000279893,0.0000779082,0.000194226,0.00008605506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001105623,"about_ca_system_score_gemma":0.00003633003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001687089,"about_ca_topic_score_gemma":0.00000194864,"domain_scores_codex":[0.9992958,0.00005628978,0.0002375809,0.00007565667,0.0001992382,0.0001354698],"domain_scores_gemma":[0.9992777,0.0001007004,0.000169145,0.0002349335,0.0001489128,0.00006867789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001481045,0.00006326479,0.002774385,0.00004574341,0.0001098617,0.0000436455,0.01367849,0.0009657831,0.02044979,0.02874649,0.001784758,0.9311897],"study_design_scores_gemma":[0.0008119491,0.003615815,0.007768877,0.0004844919,0.0000914179,0.005555406,0.005893937,0.02983072,0.398857,0.01391783,0.532237,0.0009355582],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6714194,0.003447849,0.3178191,0.002294451,0.0011597,0.0001583686,5.417593e-7,0.00003473425,0.003665822],"genre_scores_gemma":[0.9965195,0.001245429,0.001113678,0.0003472054,0.00007511094,2.969145e-7,6.288839e-8,0.000003904589,0.0006948242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9302541,"threshold_uncertainty_score":0.1826626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01602622396794297,"score_gpt":0.2423823380108765,"score_spread":0.2263561140429335,"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."}}