{"id":"W2951033459","doi":"10.1017/s0263574720000521","title":"ARCog: An Aerial Robotics Cognitive Architecture","year":2020,"lang":"en","type":"article","venue":"Robotica","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Robotics; Artificial intelligence; Key (lock); Computer science; Architecture; Cognitive architecture; Human–computer interaction; Field (mathematics); Cognition; Cognitive robotics; Robot; Systems engineering; Engineering; Computer security","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":[0.0002089341,0.0003049887,0.0001965346,0.0003922246,0.0003908918,0.0008970624,0.0008019162,0.0003955569,0.006075673],"category_scores_gemma":[0.0003328333,0.0002080185,0.0003180811,0.0002182683,0.0006298432,0.0007365823,0.001246088,0.0005817888,0.001285354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006150836,"about_ca_system_score_gemma":0.0009902252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005701208,"about_ca_topic_score_gemma":0.0059564,"domain_scores_codex":[0.9998367,0.00002115345,0.000009521559,0.00004249759,0.00006320599,0.00002699114],"domain_scores_gemma":[0.9998745,0.00001841109,0.00001513759,0.00002684727,0.00004038278,0.00002476076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003529105,0.0001799448,0.003545616,0.0006436309,0.0001245543,0.0007902275,0.0007750806,0.2322112,0.04351856,0.1617799,0.02865147,0.527427],"study_design_scores_gemma":[0.0001028911,0.0002221477,0.0017412,0.0001342502,0.00008612037,0.000542031,0.0002203551,0.7000477,0.02133913,0.07427968,0.2012198,0.00006466994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07930382,0.0007875814,0.8473277,0.001197117,0.0001278963,0.0003095945,0.0004841443,0.01493467,0.05552744],"genre_scores_gemma":[0.5131403,0.0005260078,0.4699049,0.0003458736,0.00003427603,0.0001739905,0.0006629098,0.0002667884,0.01494494],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006075673,"threshold_uncertainty_score":0.02032518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0315525991528119,"score_gpt":0.251502636438289,"score_spread":0.2199500372854771,"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."}}