{"id":"W3034482811","doi":"10.23977/acss.2020.040104","title":"Online Active Learning for Offensive Language Detection","year":2020,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Offensive; Computer science; Active learning (machine learning); Artificial intelligence; Machine learning; Process (computing); Engineering; Operations research","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001300031,0.0001179998,0.0002075487,0.00005984226,0.00009527372,0.0001138916,0.0001692437,0.00004968413,6.817415e-7],"category_scores_gemma":[0.00003109394,0.0001084929,0.00003835107,0.0002003211,0.00001526943,0.0004165107,0.00007090887,0.0001416344,0.000003520417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001941456,"about_ca_system_score_gemma":0.00001084133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003437612,"about_ca_topic_score_gemma":0.00002035103,"domain_scores_codex":[0.9990298,0.00009440781,0.0002056325,0.0003635313,0.0001168383,0.0001898268],"domain_scores_gemma":[0.9994858,0.0001644985,0.0001058385,0.00009843642,0.00006729735,0.00007814205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004297159,0.0000307484,0.00009588249,0.000141772,0.000017113,0.00002335114,0.003231313,0.04644835,0.006366862,0.0004073082,0.00002687731,0.9431674],"study_design_scores_gemma":[0.0005241841,0.0005864811,0.000166132,0.0000746717,0.000003144486,0.00002271455,0.0003815181,0.9823277,0.005240555,0.0001406795,0.01035815,0.0001740874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07203622,0.002228981,0.9245395,0.000160434,0.0005628097,0.0003052841,0.00000293194,0.000118542,0.00004526156],"genre_scores_gemma":[0.9907841,0.0001432053,0.008312855,0.0002648542,0.0004315997,0.00002904757,0.000003879231,0.000008678918,0.00002174479],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9429933,"threshold_uncertainty_score":0.4424213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01652435245775879,"score_gpt":0.261567602640698,"score_spread":0.2450432501829392,"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."}}