{"id":"W7162744427","doi":"","title":"Eliminating Subjectivity from Hate Speech Regulation : Exploringa Modified Definition of Hatred in Canada","year":2019,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Hatred; Subjectivity; Perspective (graphical); Derogation; Focus (optics)","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"],"consensus_categories":[],"category_scores_codex":[0.0005893395,0.0004046052,0.0005206853,0.000278671,0.0003867876,0.0002267404,0.0005790074,0.0001754891,0.00004583229],"category_scores_gemma":[0.0004411017,0.0004684588,0.0001132123,0.001010709,0.0001382405,0.002717366,0.0003860029,0.0005124612,0.0000424366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0020583,"about_ca_system_score_gemma":0.003509233,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8811926,"about_ca_topic_score_gemma":0.7216666,"domain_scores_codex":[0.9956836,0.0002824582,0.001035869,0.001029569,0.001428381,0.0005401274],"domain_scores_gemma":[0.9972182,0.0004275844,0.0006392801,0.001088404,0.0004514933,0.0001750704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002670427,0.001640791,0.1887485,0.001779451,0.0006298471,0.002415233,0.005407264,0.0547074,0.4769261,0.1828153,0.0007345672,0.08152507],"study_design_scores_gemma":[0.003628857,0.0003397852,0.2721775,0.003880188,0.0001278046,0.0002496396,0.001121468,0.1192202,0.5917752,0.004365359,0.001389024,0.001724972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740412,0.0002915316,0.01317731,0.0001429117,0.007714286,0.0005243198,0.000547877,0.00007280269,0.003487822],"genre_scores_gemma":[0.9878458,0.00005223452,0.01080865,0.00003009946,0.0004626363,0.00003374039,0.0006743721,0.00002117657,0.00007125641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.17845,"threshold_uncertainty_score":0.9997767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02501523676650405,"score_gpt":0.2156905910799232,"score_spread":0.1906753543134192,"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."}}