{"id":"W98080320","doi":"10.5555/2349508.2349542","title":"Agents with ability to understand emotions","year":2009,"lang":"en","type":"article","venue":"Summer Computer Simulation Conference","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; TUTOR; Feature (linguistics); Human–computer interaction; Software agent; Software; Software engineering; Artificial intelligence; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006720398,0.0001192945,0.0001296127,0.0000818842,0.0001198797,0.00008037893,0.0001204292,0.00006002327,0.003081163],"category_scores_gemma":[0.000009838258,0.0001110629,0.00004004372,0.0002014049,0.00002837765,0.000115954,0.00001562164,0.0001122729,0.0005314278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005519667,"about_ca_system_score_gemma":0.00002957044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004505493,"about_ca_topic_score_gemma":0.00004782585,"domain_scores_codex":[0.999092,0.00008212464,0.000181942,0.0003044696,0.0001530391,0.00018642],"domain_scores_gemma":[0.9992465,0.000106869,0.00005702181,0.0002683806,0.000199758,0.0001214233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008495973,0.001540543,0.0282513,0.00001727112,0.0002216892,0.00003512931,0.05600838,0.2526936,0.0001088825,0.1712873,0.04290219,0.4460841],"study_design_scores_gemma":[0.001223857,0.0006169789,0.8816299,0.00004018129,0.00002430376,0.000003643563,0.001114538,0.1001508,0.000009144483,0.002858638,0.01194876,0.0003792367],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1835494,0.00000285276,0.7919571,0.002118108,0.0007174916,0.0002655901,0.000004393201,0.00011708,0.02126788],"genre_scores_gemma":[0.9938125,2.729738e-7,0.002107312,0.003112291,0.0001611779,0.000003122336,0.0000110658,0.000006989157,0.0007852507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8533786,"threshold_uncertainty_score":0.9978302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1609017922271088,"score_gpt":0.417343664594947,"score_spread":0.2564418723678382,"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."}}