{"id":"W2937178421","doi":"","title":"Collaboratively working towards ontology-based standards for robotics and automation","year":2018,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Automation; Robotics; Ontology; Computer science; Artificial intelligence; Software engineering; Robot; Engineering; Mechanical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003550686,0.0000848737,0.0001328348,0.00006074122,0.0001552871,0.000154535,0.0002273103,0.00006120548,0.000005414898],"category_scores_gemma":[0.0001844668,0.00006728839,0.00001916488,0.0002065337,0.0001144413,0.0001632334,0.00005835565,0.00002753978,0.000002178785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004357693,"about_ca_system_score_gemma":0.0003164657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001322034,"about_ca_topic_score_gemma":0.0002412612,"domain_scores_codex":[0.9992784,0.00002868918,0.0001300015,0.000223371,0.0001590484,0.0001804738],"domain_scores_gemma":[0.9992509,0.000104867,0.00005603708,0.0001853605,0.0003659142,0.00003685947],"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":[0.00006348549,0.00005271435,0.004199486,0.00004957047,0.00003814218,0.000004506111,0.001831835,0.0001847721,0.0004746601,0.767939,0.01023472,0.2149272],"study_design_scores_gemma":[0.001418358,0.0008479608,0.01943995,0.00005193708,0.00001747144,0.000007020522,0.000254455,0.9195491,0.01119471,0.02047182,0.02641539,0.0003318412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006678951,0.00007335135,0.9848065,0.004227926,0.0003620712,0.0001882681,0.000003371867,0.0002578264,0.003401746],"genre_scores_gemma":[0.5209113,0.000001895549,0.4785253,0.0004192452,0.00004561041,0.000008990911,7.576386e-7,0.000002605967,0.00008431962],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9193643,"threshold_uncertainty_score":0.2743941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03716289882731344,"score_gpt":0.3111095914336467,"score_spread":0.2739466926063333,"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."}}