{"id":"W4405652488","doi":"10.1007/978-3-031-75813-3_12","title":"Correction to: Free Speech in the Puzzle of Content Regulation: Insights from the West and the Global South","year":2024,"lang":"en","type":"book-chapter","venue":"Law, governance and technology series","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Content (measure theory); Computer science; Linguistics; Philosophy; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003720277,0.002131741,0.002131942,0.005447686,0.007216604,0.008615886,0.004840703,0.01485453,0.09914521],"category_scores_gemma":[0.06966518,0.001249265,0.001187494,0.005755336,0.005988241,0.005630092,0.003275198,0.01773916,0.0666164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007795596,"about_ca_system_score_gemma":0.01099736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08715726,"about_ca_topic_score_gemma":0.09242823,"domain_scores_codex":[0.9952028,0.0006361514,0.0007219485,0.0007617276,0.002078346,0.0005991617],"domain_scores_gemma":[0.9552546,0.01229843,0.001870195,0.003846948,0.02479262,0.001937301],"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":[0.000007176389,0.000002361044,0.00002374032,0.00003573476,0.00000186679,0.00003789285,0.00006327795,0.00001519781,0.00001050801,0.001643988,0.9960681,0.002090097],"study_design_scores_gemma":[0.000016253,0.00000618204,0.000533366,0.000177285,0.000007950192,0.00008748528,0.0002351579,0.0001042171,0.00008829268,0.001778982,0.9969386,0.00002616743],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001700393,0.001068826,0.0006014564,0.1805099,0.801102,0.00003718328,0.001937971,0.0005651459,0.01400751],"genre_scores_gemma":[0.01433694,0.00554843,0.00291986,0.1606455,0.2715906,0.0003197895,0.001889105,0.001824955,0.5409248],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09914521,"threshold_uncertainty_score":0.3316737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008511927878754584,"score_gpt":0.1853879524427473,"score_spread":0.1768760245639928,"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."}}