{"id":"W4400939773","doi":"10.3390/app14156468","title":"A Study of Discriminatory Speech Classification Based on Improved Smote and SVM-RF","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Support vector machine; Computer science; Speech recognition; Pattern recognition (psychology); Artificial intelligence; Machine learning","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":[0.0001324405,0.00007170119,0.00007195029,0.00008002339,0.0000800401,0.00003826836,0.0000992006,0.00001931738,0.000004433457],"category_scores_gemma":[0.000003057298,0.00005747507,0.000010656,0.0003179577,0.000102272,0.00005548484,0.00001177199,0.00006553301,0.000004691904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001358451,"about_ca_system_score_gemma":0.00001343107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005825359,"about_ca_topic_score_gemma":0.000008231043,"domain_scores_codex":[0.9994621,0.000002945679,0.0001094429,0.0002029071,0.0001264857,0.00009617404],"domain_scores_gemma":[0.9997724,0.00005789614,0.00001384716,0.0001199521,0.000007543928,0.00002833041],"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":[0.000009167887,0.0003791336,0.0002485869,0.0002118615,0.00003016271,0.000003807122,0.002698858,0.02542048,0.3315191,0.06796297,0.0002369616,0.5712789],"study_design_scores_gemma":[0.0002213799,0.0001666568,0.006293471,0.00002588657,0.00002049151,8.291606e-7,0.004021923,0.968883,0.0163457,0.002934766,0.0008979614,0.0001879354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715517,0.0001055987,0.0169031,0.00008935852,0.0001074445,0.0004337245,0.000007434061,0.0002101402,0.0105915],"genre_scores_gemma":[0.9971966,0.000006306366,0.002668411,0.00001220646,0.00002153711,0.00006950137,0.000001207345,0.000007568533,0.00001673102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9434625,"threshold_uncertainty_score":0.2343765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02710239415350581,"score_gpt":0.2780573757387332,"score_spread":0.2509549815852274,"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."}}