{"id":"W4388666107","doi":"10.26615/978-954-452-092-2_018","title":"Beyond Information: Is ChatGPT Empathetic Enough?","year":2023,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Classifier (UML); Emotion detection; Emotional intelligence; Human–computer interaction; Artificial intelligence; Emotion recognition; Cognitive psychology; Natural language processing; Psychology; Social psychology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001430391,0.00005492559,0.00005557518,0.000095904,0.00006291958,0.0001276131,0.0004495478,0.0000278113,0.0001140574],"category_scores_gemma":[0.00001004595,0.00004758635,0.00002783943,0.0003767276,0.000007536489,0.0008902797,0.0002168748,0.00004608913,0.003443539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001203976,"about_ca_system_score_gemma":0.00002829734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001319091,"about_ca_topic_score_gemma":0.00000111458,"domain_scores_codex":[0.9993788,0.00000731943,0.0001386556,0.0001117814,0.0001904323,0.0001730115],"domain_scores_gemma":[0.9994665,0.00001777887,0.00002409106,0.000411456,0.00003342747,0.00004674559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[4.759963e-7,0.00000850752,0.0001267594,0.00001606572,0.000006653428,0.000005655154,0.01790515,0.0007810219,0.00001965413,0.5476098,0.02588358,0.4076367],"study_design_scores_gemma":[0.0001590381,0.00001738509,0.0004646947,0.000005216481,0.000001170611,0.000008543432,0.0001673746,0.829976,0.0008301763,0.02366692,0.1445619,0.0001415726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009013901,0.00001246888,0.9002876,0.0109893,0.0005257527,0.0001279299,0.000001040607,0.0007519832,0.07829005],"genre_scores_gemma":[0.9223543,0.00002129175,0.0593913,0.008325332,0.0001272201,0.00003567835,0.000005507453,0.000006614029,0.009732741],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9133404,"threshold_uncertainty_score":0.9973324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01704925215856481,"score_gpt":0.2376911173395304,"score_spread":0.2206418651809655,"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."}}