{"id":"W4407979466","doi":"10.3390/proceedings2025114004","title":"The Double-Edged Sword of Anthropomorphism in LLMs","year":2025,"lang":"en","type":"article","venue":"","topic":"AI in Service Interactions","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto; National Research Foundation; National Research Foundation Singapore; National Institute for Health and Care Research; Department of Health and Social Care; Wellcome Trust","keywords":"SWORD; Computer science; Computer security; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000162007,0.00005243292,0.00007681851,0.00008006194,0.00008999761,0.00005515458,0.0008632844,0.00002665366,0.00004267371],"category_scores_gemma":[0.00001489317,0.00003517174,0.00003072865,0.0005943339,0.00006614321,0.0002104369,0.0002615662,0.0001071027,0.00003829283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003149405,"about_ca_system_score_gemma":0.00006344993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006491448,"about_ca_topic_score_gemma":0.001373269,"domain_scores_codex":[0.9994082,0.00002677635,0.0002022512,0.0001391593,0.00009825888,0.0001253491],"domain_scores_gemma":[0.9991055,0.0002499274,0.00004252148,0.0005169663,0.00007021567,0.00001484263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001645259,0.00009172679,0.002131638,0.000008417472,0.00001652097,0.00000338632,0.0004859041,0.0000780646,0.00121858,0.9698753,0.009722187,0.01635183],"study_design_scores_gemma":[0.004913691,0.0002368757,0.09201023,0.000447727,0.00002511201,0.00002978578,0.003709895,0.2205233,0.1606248,0.1532533,0.3634487,0.0007765865],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07619868,0.0003430118,0.4946401,0.0675733,0.003789802,0.0004321173,8.92092e-7,0.0002267765,0.3567953],"genre_scores_gemma":[0.9898496,0.00002843308,0.005177809,0.0004697487,0.00001028856,0.00001358171,2.003481e-7,0.000002142623,0.004448212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9136509,"threshold_uncertainty_score":0.1604212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104002362646021,"score_gpt":0.3041753859584437,"score_spread":0.2937751496938416,"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."}}