{"id":"W4394969999","doi":"10.22214/ijraset.2024.60284","title":"An Enhanced System to Detect Cyberbullying and Automate Reporting on Twitter Using Text Based Pattern Recognition Technique","year":2024,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Pattern recognition (psychology); Artificial intelligence; Speech recognition","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005058848,0.0001173927,0.0001278076,0.003288727,0.0002720278,0.0008772963,0.0006736747,0.0001003323,7.395658e-7],"category_scores_gemma":[0.000365754,0.0001097116,0.00002004746,0.001380162,0.00009363698,0.0003366256,0.0001722654,0.0005397982,0.000003997215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004838203,"about_ca_system_score_gemma":0.0001640406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000152965,"about_ca_topic_score_gemma":0.000002055779,"domain_scores_codex":[0.9979577,0.00001938973,0.0004054532,0.0005106353,0.0006410191,0.0004658108],"domain_scores_gemma":[0.9991695,0.0001096454,0.00008462562,0.0001896549,0.0003092615,0.0001373259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001199492,0.000007832173,0.0000115926,0.00004202198,0.000005640461,0.0001016163,0.00008437991,0.002088412,0.6386155,0.001410783,0.000004331711,0.3576158],"study_design_scores_gemma":[0.0001543688,0.0002103846,0.00007639295,0.0007754206,0.000001390574,0.0007003818,0.0001053939,0.7254024,0.2699036,0.002281405,0.0002396211,0.0001492216],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3895086,0.00001538006,0.6089999,0.0005356886,0.0003631864,0.0002748528,0.000001006661,0.0002472206,0.00005420276],"genre_scores_gemma":[0.9061642,0.000006305364,0.09353908,0.00003836371,0.00008111304,0.0001558064,4.232598e-7,0.00001310766,0.000001652333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.723314,"threshold_uncertainty_score":0.8459788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0630225182618272,"score_gpt":0.3812698401136947,"score_spread":0.3182473218518675,"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."}}