{"id":"W4392663948","doi":"10.31234/osf.io/gswm6","title":"Accuracy prompts protect professional content moderators from the illusory truth effect","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; John Templeton Foundation","keywords":"Content (measure theory); Psychology; Cognitive psychology; Social psychology; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.01110635,0.0005515529,0.0004329855,0.0005709433,0.001339143,0.001567651,0.0006514253,0.001379912,0.01225547],"category_scores_gemma":[0.08319608,0.0005354499,0.0003709921,0.0002830372,0.001722766,0.001702528,0.0019554,0.001767791,0.001077061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006748617,"about_ca_system_score_gemma":0.001083822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009859528,"about_ca_topic_score_gemma":0.001253335,"domain_scores_codex":[0.9924712,0.004284107,0.0004491009,0.001034232,0.001325424,0.000435857],"domain_scores_gemma":[0.8575272,0.1040644,0.01571134,0.01404213,0.005609934,0.003045062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01821549,0.0166406,0.3136823,0.004132988,0.0006495299,0.00078606,0.08068018,0.001675332,0.1712184,0.02279599,0.008285445,0.3612377],"study_design_scores_gemma":[0.00226122,0.01499738,0.7760331,0.001097839,0.001345812,0.0006327611,0.01165238,0.005834758,0.1124223,0.02368598,0.04982391,0.000212536],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976271,0.0001814315,0.0075487,0.0009918554,0.0001382038,0.0003855326,0.0001296592,0.0001802876,0.01417332],"genre_scores_gemma":[0.9903103,0.00008530365,0.005956484,0.000549241,0.0000754766,0.0004327991,0.00007330291,0.00005679674,0.002460478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01225547,"threshold_uncertainty_score":0.05873674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03013273020718203,"score_gpt":0.266185684695772,"score_spread":0.23605295448859,"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."}}