{"id":"W3117690364","doi":"10.1109/irc.2020.00010","title":"Catching a Robot Intruder with Limited Information","year":2020,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Snapshot (computer storage); Computer science; Guard (computer science); Soar; Artificial intelligence; Theoretical computer science; Information retrieval; Programming language; Database","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":[0.000590027,0.0007105159,0.001067779,0.0005313316,0.0004974977,0.001039053,0.001323319,0.001192441,0.001777017],"category_scores_gemma":[0.003933914,0.0006384571,0.0006718503,0.0005406744,0.0009930804,0.003195605,0.002287903,0.001380391,0.0003521573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005367947,"about_ca_system_score_gemma":0.0005795172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002482887,"about_ca_topic_score_gemma":0.001817409,"domain_scores_codex":[0.9993744,0.000134979,0.00003959825,0.0001881283,0.000194201,0.00006876312],"domain_scores_gemma":[0.9984024,0.000910294,0.0002399498,0.0002099394,0.0001457846,0.00009157843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006190371,0.0001103825,0.004549584,0.0004030307,0.0001491488,0.0009201446,0.0004201851,0.8294483,0.01647531,0.03923182,0.002261598,0.1054115],"study_design_scores_gemma":[0.00003212367,0.0001631437,0.001210969,0.0000298389,0.00004076255,0.0002122377,0.0001610377,0.9682644,0.00419591,0.02410904,0.001541543,0.0000389395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08557814,0.000833619,0.9095732,0.000405089,0.00007102865,0.00004032362,0.0001200737,0.0003990292,0.002979497],"genre_scores_gemma":[0.8379931,0.001166929,0.1542374,0.0001909863,0.0001137173,0.0001272704,0.000436131,0.00007925737,0.005655242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002482887,"threshold_uncertainty_score":0.005944729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01547936609658625,"score_gpt":0.1975267517037445,"score_spread":0.1820473856071583,"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."}}