{"id":"W4239556579","doi":"10.24124/2013/bpgub878","title":"A model of empathy for artificial agent teamwork.","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heritage; University of Northern British Columbia; Library and Archives Canada","funders":"","keywords":"Empathy; Situated; Teamwork; Analogy; Artificial intelligence; Computer science; Psychology; Agent-based model; Cognitive psychology; Human–computer interaction; Social psychology; Epistemology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009517151,0.0006580091,0.0004428246,0.000599815,0.001341592,0.001994083,0.001548754,0.002743239,0.01170537],"category_scores_gemma":[0.002886236,0.0002913078,0.0008634173,0.000525685,0.002038573,0.002447792,0.001810561,0.001662604,0.002386967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001519343,"about_ca_system_score_gemma":0.001122845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002080963,"about_ca_topic_score_gemma":0.001168513,"domain_scores_codex":[0.9994234,0.0002459571,0.00003049409,0.00009742394,0.00012895,0.00007382544],"domain_scores_gemma":[0.9993206,0.0002792525,0.0001093475,0.00006435309,0.00009514526,0.0001311807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001597384,0.00003193833,0.0002986835,0.00003991233,0.00001525936,0.0001952887,0.0003780565,0.06552646,0.0004658817,0.9259654,0.003154811,0.003912435],"study_design_scores_gemma":[0.00004557074,0.00005329212,0.0003036283,0.0000334157,0.0000146154,0.0002211309,0.0002076669,0.3900615,0.000118946,0.5889863,0.01993592,0.00001806335],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.04042951,0.002004083,0.6391196,0.01130169,0.0006984004,0.0003166976,0.0003757073,0.0002430755,0.3055113],"genre_scores_gemma":[0.8111628,0.001271739,0.09560297,0.001034004,0.0003111186,0.0009911573,0.0002163051,0.0000844671,0.08932555],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01170537,"threshold_uncertainty_score":0.03915834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06513920977257465,"score_gpt":0.2963381589534624,"score_spread":0.2311989491808877,"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."}}