{"id":"W3204600076","doi":"10.33972/jhs.188","title":"Making Hate Visible: Online Hate Incident Reporting Tools","year":2021,"lang":"en","type":"article","venue":"Journal of Hate Studies","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Hate crime; Government (linguistics); Law enforcement; Political science; Social media; Equity (law); Economic Justice; Public relations; Criminology; Law; Sociology","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":[0.001548284,0.0001904413,0.000563137,0.0001926007,0.0003262901,0.0004138128,0.0004112234,0.00005341331,0.000009266849],"category_scores_gemma":[0.002443499,0.0001592253,0.0002399908,0.0005681541,0.00004603758,0.00108295,0.0004830037,0.0003869455,0.00001402249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001364116,"about_ca_system_score_gemma":0.0002080833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005204758,"about_ca_topic_score_gemma":0.00003345618,"domain_scores_codex":[0.9970024,0.0001304807,0.001587264,0.0002930358,0.0006166228,0.0003701556],"domain_scores_gemma":[0.9955292,0.0001488948,0.002727746,0.0003590409,0.001143577,0.00009149894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001103481,0.0005002003,0.006873311,0.0003636066,0.002225175,0.0255353,0.008256323,0.002810118,0.04482661,0.005162156,0.005847963,0.8974889],"study_design_scores_gemma":[0.007199939,0.00349744,0.2214174,0.01153692,0.0009888011,0.04865893,0.0297098,0.01262813,0.4420829,0.07420769,0.1440777,0.003994389],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9107963,0.01294271,0.06482143,0.005897215,0.00439096,0.0001241745,0.000002854069,0.0001259255,0.0008983595],"genre_scores_gemma":[0.9100853,0.003107584,0.08471902,0.000652444,0.0007109338,0.000002719768,0.000001091622,0.00002079295,0.0007000866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8934945,"threshold_uncertainty_score":0.6493019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1114222928534636,"score_gpt":0.3644636955617016,"score_spread":0.2530414027082379,"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."}}