{"id":"W3135553445","doi":"","title":"Euphemism and Gender: A Computational Inquiry.","year":2020,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Euphemism; Psychology; Cognitive science; Computer science; Linguistics; Epistemology; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003377497,0.0005256522,0.0004670374,0.002281717,0.00142475,0.003976234,0.001142554,0.0008742773,0.00887447],"category_scores_gemma":[0.02210288,0.0003890147,0.001383251,0.00263838,0.002791486,0.005392222,0.002373955,0.0014439,0.0006814337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001400097,"about_ca_system_score_gemma":0.001207442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007244229,"about_ca_topic_score_gemma":0.01055914,"domain_scores_codex":[0.9979733,0.001122622,0.00007591926,0.0004452263,0.000282471,0.0001005558],"domain_scores_gemma":[0.9783096,0.01891028,0.001014935,0.0008998039,0.0004550123,0.0004102395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006521941,0.0003470016,0.4064441,0.0007318574,0.000449256,0.0004901971,0.008096679,0.01409709,0.002387698,0.3994245,0.0204124,0.1464669],"study_design_scores_gemma":[0.00008087663,0.0001622821,0.2006532,0.0002303279,0.0002002821,0.001249928,0.01162151,0.2096721,0.001951412,0.5057903,0.06826166,0.0001261833],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.651548,0.005323599,0.2302292,0.0265124,0.000405035,0.0002822418,0.01334964,0.0006668335,0.07168292],"genre_scores_gemma":[0.9554237,0.0005063665,0.0369743,0.0005359295,0.00009593924,0.0001832289,0.002569569,0.00006612448,0.003644895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00887447,"threshold_uncertainty_score":0.02968806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0280304265995758,"score_gpt":0.2205656155358484,"score_spread":0.1925351889362726,"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."}}