{"id":"W2487729272","doi":"10.4018/978-1-4666-1628-8.ch011","title":"Intelligent Agents with Personality","year":2012,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Personality; WordNet; Artificial intelligence; Judgement; Taxonomy (biology); Big Five personality traits; Set (abstract data type); Natural language processing; Human–computer interaction; Psychology; Social psychology; Programming language","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00009007284,0.0003891427,0.0003848067,0.00004158516,0.00009499046,0.0000417643,0.0002299965,0.0004816952,0.01874712],"category_scores_gemma":[0.000005427284,0.0003476833,0.0002543295,0.00001079701,0.0001322409,0.00002653519,0.00006050914,0.0004407509,0.008039641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000354142,"about_ca_system_score_gemma":0.00007169516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004606736,"about_ca_topic_score_gemma":0.0002105465,"domain_scores_codex":[0.9985231,0.00003483522,0.0002907833,0.0004181892,0.0003412849,0.000391809],"domain_scores_gemma":[0.9989505,0.00003173785,0.0002391185,0.0004274688,0.0001043909,0.0002468031],"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":[0.0001829757,0.0000366085,0.0002207647,0.00001037181,0.0004378831,0.00005435766,0.0009533063,9.597164e-8,4.989278e-7,0.9355645,0.04901227,0.01352633],"study_design_scores_gemma":[0.0003979975,0.0001469494,0.001577545,0.0001151066,0.0002240803,0.000173226,0.0002757094,4.835939e-7,0.000005112747,0.04031739,0.9561918,0.0005745571],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002014697,0.0004790746,0.0001159028,0.00008620757,0.002444674,0.0003112688,0.00010816,0.000138213,0.996115],"genre_scores_gemma":[0.2447873,0.000004306844,0.00006380074,0.001870992,0.001051545,0.00002677605,0.00001184024,0.00006164548,0.7521218],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9071796,"threshold_uncertainty_score":0.9998975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08171926474717854,"score_gpt":0.3604895827688864,"score_spread":0.2787703180217079,"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."}}