{"id":"W243483455","doi":"10.1007/978-3-319-11313-5_35","title":"An Intelligent Architecture for Autonomous Virtual Agents Inspired by Onboard Autonomy","year":2014,"lang":"en","type":"book-chapter","venue":"Advances in intelligent systems and computing","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Architecture; Autonomy; Computer science; Human–computer interaction; Computer architecture; Systems engineering; Engineering; Art; Visual arts; Political 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"],"consensus_categories":[],"category_scores_codex":[0.0009813735,0.0007651519,0.0009845562,0.0003702159,0.0003514839,0.0004538468,0.001310329,0.0004194026,0.000007127789],"category_scores_gemma":[0.00003457082,0.0007473852,0.0001841864,0.00008974527,0.0001122588,0.0002890459,0.0003243939,0.0006981062,0.00001956981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003102732,"about_ca_system_score_gemma":0.0001599918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000809698,"about_ca_topic_score_gemma":0.00002447677,"domain_scores_codex":[0.9961127,0.0001198985,0.00126971,0.001400371,0.000385521,0.0007117696],"domain_scores_gemma":[0.9972886,0.0006783906,0.0008111156,0.0008213048,0.0001253612,0.0002751564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002505481,0.00003775374,0.0001838094,0.0004444886,0.00007118187,0.00001631779,0.00205129,0.1285143,0.00001245287,0.2519108,0.0004172424,0.6163152],"study_design_scores_gemma":[0.0002227942,0.0005999618,0.000003538976,0.001675874,0.00001950471,0.00003198993,0.00006621847,0.3639739,0.0000865175,0.005223392,0.627282,0.0008143196],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003100715,0.01387477,0.971907,0.00006519077,0.002192391,0.001046063,0.00004156015,0.0003069375,0.01025609],"genre_scores_gemma":[0.7461694,0.002618233,0.1316427,0.002006316,0.003488019,0.0003719812,0.0009038429,0.0006398302,0.1121596],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8402643,"threshold_uncertainty_score":0.9994977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01672457761539026,"score_gpt":0.2652785822912884,"score_spread":0.2485540046758982,"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."}}