{"id":"W4396751126","doi":"10.60087/jaigs.v1i1.90","title":"How To Bring Emotion to AI / Robots","year":2024,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence General science (JAIGS) ISSN 3006-4023","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Robot; Computer science; Psychology; Artificial intelligence; Human–computer interaction; Cognitive science","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001933509,0.0003005887,0.0004077244,0.001225863,0.000407532,0.001616489,0.001025427,0.0001538831,0.001779489],"category_scores_gemma":[0.0007391043,0.0002680267,0.0003245772,0.003012842,0.0002516362,0.001302192,0.0001602807,0.0006816236,0.003281184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005324245,"about_ca_system_score_gemma":0.0003852024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002569953,"about_ca_topic_score_gemma":0.0002932689,"domain_scores_codex":[0.9961802,0.0001298359,0.0009659744,0.0006806198,0.001150382,0.000892953],"domain_scores_gemma":[0.9976516,0.0001459878,0.0002554811,0.0003561513,0.0007926322,0.0007981723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002212094,0.0002198521,0.0001934538,0.00001547282,0.00007563511,0.0002628782,0.0125657,0.01593288,0.203907,0.05525468,0.0232582,0.688093],"study_design_scores_gemma":[0.0003055535,0.006005443,0.01598777,0.001730397,0.0003024872,0.002008677,0.03445404,0.02962817,0.5123111,0.07063877,0.3231027,0.003524867],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6309988,0.0005401409,0.27418,0.05289815,0.03486795,0.0005845213,0.00001495158,0.0001750254,0.005740413],"genre_scores_gemma":[0.9798382,0.00002363539,0.004692186,0.002834403,0.004257037,0.000008799889,0.00000134519,0.00004115708,0.008303261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6845682,"threshold_uncertainty_score":0.9999772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09732330380750999,"score_gpt":0.4342286576735314,"score_spread":0.3369053538660214,"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."}}