{"id":"W6991222193","doi":"","title":"\"Falsehood Flies, and the Truth Comes Limping After\": Combatting Online Disinformation in the Shadow of CUMSA","year":2021,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Cybersecurity and Cyber Warfare Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Disinformation; Ratification; Government (linguistics); Hacker; Charter; Amnesty; Order (exchange); Shadow (psychology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001216955,0.0001039981,0.0002322185,0.00002677141,0.000636589,0.0001801411,0.0002279615,0.00005875573,0.00005190898],"category_scores_gemma":[0.0009150258,0.00006770057,0.00007415575,0.0003546658,0.0006248505,0.0003729086,0.0001339459,0.0002522565,0.00000519423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003192367,"about_ca_system_score_gemma":0.00008201665,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006303186,"about_ca_topic_score_gemma":0.10893,"domain_scores_codex":[0.9985379,0.0004031678,0.000320333,0.0001368829,0.0003643784,0.000237352],"domain_scores_gemma":[0.9985974,0.0009524566,0.0001207879,0.0001968922,0.00008942738,0.00004303309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006997644,0.000127679,0.02316465,0.00007532079,0.00005901333,0.00001107351,0.1806981,0.00001080554,0.000006406729,0.7885471,0.000242548,0.006987326],"study_design_scores_gemma":[0.00379598,0.00006180708,0.2048045,0.0005729825,0.00012308,0.00001244772,0.6666835,0.0001865301,0.0001118132,0.0574503,0.06570227,0.0004947559],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9594942,0.004803776,0.00001267242,0.01160904,0.0002788021,0.0002735471,0.00004454012,0.0000316958,0.02345176],"genre_scores_gemma":[0.9978898,0.0007442373,0.0000834194,0.001024224,0.0001452242,0.00001951095,0.0000143968,0.000004763017,0.00007440007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7310968,"threshold_uncertainty_score":0.9528574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01590746428136797,"score_gpt":0.2746455473725061,"score_spread":0.2587380830911381,"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."}}