{"id":"W3155208491","doi":"10.48550/arxiv.2104.09586","title":"Semantic Knowledge Discovery and Discussion Mining of Incel Online Community: Topic modeling","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Data science; Sentiment analysis; Latent semantic analysis; Information retrieval; Topic model; Question answering; World Wide Web; Knowledge extraction; Artificial intelligence","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":[0.0002981865,0.0002227763,0.0004455461,0.0002719141,0.0002117478,0.0001783385,0.0009271182,0.000147612,0.00000632239],"category_scores_gemma":[0.00002841227,0.0001966028,0.0001926401,0.0004650823,0.00006693148,0.0005171994,0.004084457,0.0004847867,0.000001106916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005502667,"about_ca_system_score_gemma":0.0001208624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002298564,"about_ca_topic_score_gemma":0.0002213878,"domain_scores_codex":[0.998584,0.0002998933,0.0002781801,0.0005607636,0.00008254381,0.0001945982],"domain_scores_gemma":[0.9985163,0.000113545,0.0002279345,0.0009435551,0.0001173377,0.00008135482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004616282,0.001815644,0.0968463,0.001617985,0.001035202,0.0002526032,0.02813341,0.8094279,0.001157468,0.04373439,0.00007409914,0.01585884],"study_design_scores_gemma":[0.0002675908,0.00002494869,0.001165084,0.0006195788,0.0001010235,0.000001497648,0.003873995,0.99194,0.0001036526,0.001646418,0.00001036532,0.0002458341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6279222,0.0002306545,0.3714052,0.00004856804,0.0001732493,0.00004951719,0.000003087856,0.00002665151,0.0001409185],"genre_scores_gemma":[0.9955914,0.000302372,0.003178501,0.00002003719,0.00003890841,1.976073e-7,0.00004448609,0.000009556357,0.0008145524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3682266,"threshold_uncertainty_score":0.8017229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1184357934533684,"score_gpt":0.2281354464083122,"score_spread":0.1096996529549438,"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."}}