{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001604908,0.001297956,0.001004889,0.001600047,0.0004552246,0.0009521957,0.001710404,0.001049832,0.001615806],"category_scores_gemma":[0.00410355,0.0003341945,0.0005853592,0.0008923515,0.0008282674,0.001922367,0.001247919,0.002055183,0.001067469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004986452,"about_ca_system_score_gemma":0.0005550132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001988781,"about_ca_topic_score_gemma":0.002941323,"domain_scores_codex":[0.9987442,0.0004330827,0.00006479469,0.0003429076,0.0002857516,0.0001292269],"domain_scores_gemma":[0.9963906,0.002316431,0.0002989264,0.0003178882,0.0005387895,0.0001373227],"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":[0.0003941955,0.0007629896,0.005316467,0.0002037519,0.000157803,0.0001816772,0.0002459741,0.07284007,0.02009672,0.00398898,0.007167474,0.8886439],"study_design_scores_gemma":[0.00001446844,0.0001025943,0.0008198417,0.00001564993,0.00002458687,0.00007831461,0.000042957,0.9842452,0.008437775,0.004202019,0.001998237,0.00001842058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08088905,0.002875344,0.9071854,0.0007048082,0.0002832893,0.00009632874,0.0003022742,0.003563433,0.004100155],"genre_scores_gemma":[0.8927435,0.0008499371,0.09594743,0.0005877016,0.0003398531,0.0001403727,0.0008512286,0.0001855296,0.008354489],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001988781,"threshold_uncertainty_score":0.008487701,"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."}}