{"id":"W6987466724","doi":"","title":"Subverting Democracy to Save Democracy: Canada’s Extra-Constitutional\\tApproaches to Battling “Fake News”","year":2019,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Law, Rights, and Freedoms","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Misinformation; The Internet; Social media; Politics; Democracy; Referendum; Dictatorship; Analogy; Curiosity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009425216,0.0003175145,0.000433598,0.00009889061,0.001863171,0.00034091,0.000816951,0.0001971379,0.001276959],"category_scores_gemma":[0.0006605415,0.0003062454,0.0001443605,0.0005314167,0.001930173,0.0006566108,0.0001420954,0.0003753008,0.001383207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008116901,"about_ca_system_score_gemma":0.002801024,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4553453,"about_ca_topic_score_gemma":0.880536,"domain_scores_codex":[0.9962873,0.0002182157,0.0005505149,0.0007663868,0.001060528,0.001117071],"domain_scores_gemma":[0.9975802,0.0003666429,0.0001433785,0.0005448508,0.0002212593,0.001143663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003252123,0.00003933752,0.03172322,0.00001854645,0.00003868805,0.0000226847,0.001637044,0.0006047228,0.0003659908,0.9530503,0.0108995,0.001567454],"study_design_scores_gemma":[0.000665354,0.00007395179,0.002842916,0.0001520141,0.00004701534,0.000008504525,0.003592505,0.00009996921,0.0008440919,0.02188801,0.9688019,0.000983739],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5835853,0.0005110122,0.01871457,0.03981789,0.005568087,0.00258401,0.0001072082,0.0005207802,0.3485911],"genre_scores_gemma":[0.974277,0.0000150176,0.003936923,0.005268059,0.001346104,0.00003010661,0.0000170092,0.00003199029,0.01507781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9579024,"threshold_uncertainty_score":0.999939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02206084973467498,"score_gpt":0.253617802586768,"score_spread":0.231556952852093,"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."}}