{"id":"W3033457543","doi":"10.1017/s0269888920000338","title":"Ontologies for cloud robotics","year":2020,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; General Motors (Canada)","funders":"","keywords":"Cloud computing; Interoperability; Robotics; Computer science; Implementation; Domain (mathematical analysis); Artificial intelligence; Robot; Software engineering; Representation (politics); Knowledge representation and reasoning; Distributed computing; Systems engineering; World Wide Web; Engineering","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":[0.00338662,0.0008731227,0.0008555386,0.006064919,0.001749948,0.006362823,0.002379886,0.002777353,0.004516537],"category_scores_gemma":[0.006017164,0.000556734,0.001597368,0.006905705,0.004677121,0.01103948,0.004975596,0.003553249,0.001751211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004631608,"about_ca_system_score_gemma":0.004166169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01091361,"about_ca_topic_score_gemma":0.006470757,"domain_scores_codex":[0.9967695,0.001170087,0.0004212185,0.000424897,0.001019479,0.0001947155],"domain_scores_gemma":[0.9961429,0.001825987,0.0003912433,0.0007660651,0.0006972772,0.0001764176],"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":[0.000004168737,0.00001382642,0.0001041051,0.0004629614,0.00002081623,0.00008781622,0.0002288219,0.002362518,0.0001691587,0.9425585,0.007348339,0.04663883],"study_design_scores_gemma":[0.000004174304,0.000005874744,0.000256238,0.0009389601,0.00001377693,0.0002591889,0.0002649717,0.008151155,0.0002968843,0.6367997,0.3529841,0.00002510831],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003994918,0.1102875,0.7466495,0.02018685,0.001875315,0.0003300607,0.001203586,0.0009902904,0.114482],"genre_scores_gemma":[0.2022775,0.1836149,0.573682,0.00680618,0.002634927,0.0009127139,0.004256022,0.0004395986,0.0253761],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01091361,"threshold_uncertainty_score":0.03360486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03688110438421095,"score_gpt":0.251177821179059,"score_spread":0.214296716794848,"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."}}