{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001642552,0.001163724,0.0006166817,0.002519848,0.003453162,0.007229249,0.001859031,0.002693811,0.4575105],"category_scores_gemma":[0.01017381,0.0007109298,0.0006871505,0.001619138,0.001468839,0.00696367,0.005143214,0.002032491,0.2778152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001724215,"about_ca_system_score_gemma":0.001576404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005793588,"about_ca_topic_score_gemma":0.006749215,"domain_scores_codex":[0.9967541,0.0003925806,0.000223863,0.0005086255,0.001655656,0.0004651107],"domain_scores_gemma":[0.9929968,0.001143332,0.0005494144,0.002873179,0.002047689,0.0003897182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002233259,0.0001102532,0.003157716,0.0003848869,0.00002394182,0.0006634084,0.001370673,0.0002348977,0.002791198,0.06478493,0.6424382,0.2838165],"study_design_scores_gemma":[0.000007606899,0.00002227783,0.001143474,0.00008810035,0.000007422038,0.0003748808,0.0003195661,0.0003765434,0.001659955,0.003837293,0.9921378,0.00002500926],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01002763,0.0007695996,0.01727975,0.005615451,0.003271811,0.0005011281,0.008537874,0.009479857,0.9445169],"genre_scores_gemma":[0.04904693,0.0009070314,0.007770562,0.003212987,0.0004980214,0.0002489842,0.00682328,0.00233047,0.9291617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4575105,"threshold_uncertainty_score":0,"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."}}