{"id":"W4415371008","doi":"10.20944/preprints202510.1492.v1","title":"Does Speech Prosody Shape Social Perception Equally for AI and Human Voices? A 16-Dimension Rating Study","year":2025,"lang":"","type":"preprint","venue":"Preprints.org","topic":"Education, Psychology, and Complexity Research","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; McGill University","keywords":"Prosody; Categorization; Perception; Tone (literature); Speech perception; Emotion perception; Social cue; Social perception","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007399622,0.00103426,0.001499548,0.0005643468,0.002534938,0.0003611676,0.001383632,0.0009809334,0.003451195],"category_scores_gemma":[0.001699456,0.0009179845,0.0004877969,0.000406479,0.0005582197,0.0003134562,0.003637856,0.002414743,0.0002246473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006154288,"about_ca_system_score_gemma":0.0006823877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005696963,"about_ca_topic_score_gemma":0.0009232666,"domain_scores_codex":[0.9907121,0.001726903,0.002125337,0.003184727,0.001099417,0.001151523],"domain_scores_gemma":[0.9938675,0.0009353959,0.001151609,0.002045386,0.001714985,0.0002851206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006191941,0.008813042,0.8574159,0.006146847,0.001031019,0.000005046289,0.09064949,0.000004916626,0.018672,0.006508766,0.0004079846,0.009725849],"study_design_scores_gemma":[0.003599583,0.0006309984,0.8098953,0.0009526388,0.0007619784,0.00001031835,0.03703017,0.0009563026,0.001298411,0.1427653,0.0007036431,0.001395394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780998,0.00003416933,0.0008488105,0.002532304,0.001515133,0.01173195,0.00008487106,0.0002313853,0.004921589],"genre_scores_gemma":[0.9786986,0.00006299734,0.001967275,0.0002452613,0.00156987,0.002704823,0.0001555525,0.0001093362,0.01448629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1362565,"threshold_uncertainty_score":0.9998868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3177909375670778,"score_gpt":0.5205006990020434,"score_spread":0.2027097614349657,"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."}}