{"id":"W168545986","doi":"","title":"Collaborative behavior-based approach for robot natural language interfaces","year":2006,"lang":"en","type":"article","venue":"","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Knowledge base; Computer science; Human–computer interaction; Robot; Natural language; Service robot; Personal robot; Knowledge-based systems; Ambiguity; Social robot; Artificial intelligence; Robot control; Mobile robot; Programming language","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":[0.001839582,0.0007301637,0.0005218912,0.0007443232,0.0008788891,0.001823338,0.002530561,0.001336413,0.005276554],"category_scores_gemma":[0.004174066,0.0003936505,0.001080305,0.0004436143,0.001632984,0.002600686,0.001526748,0.001420356,0.001302869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001491639,"about_ca_system_score_gemma":0.001220564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003531722,"about_ca_topic_score_gemma":0.003303772,"domain_scores_codex":[0.997479,0.00102826,0.0001543476,0.0003797322,0.0008701402,0.00008850777],"domain_scores_gemma":[0.9985575,0.0007250491,0.0001078926,0.0002525944,0.0002963052,0.00006076725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002426436,0.0004353641,0.0009005528,0.0007637384,0.0001543136,0.0006923726,0.005251571,0.0608338,0.03210687,0.5244312,0.008040238,0.3661473],"study_design_scores_gemma":[0.0000914082,0.000237492,0.0007060159,0.0001644257,0.0001083396,0.0007020171,0.0008813949,0.631314,0.01635428,0.2546743,0.09466804,0.00009819443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002758516,0.0001521367,0.9881371,0.0002562516,0.00003353397,0.0001557371,0.00002925086,0.00080316,0.007674346],"genre_scores_gemma":[0.1092818,0.000220921,0.8835177,0.0001827457,0.00003037674,0.0005943825,0.000164111,0.0001397967,0.005868172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005276554,"threshold_uncertainty_score":0.01765186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008145949912052282,"score_gpt":0.2502645886549848,"score_spread":0.2421186387429325,"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."}}