{"id":"W4403407319","doi":"10.1007/978-3-031-64277-7_11","title":"Structure of a Model of Situational Control for Intelligent Robots Containing SEMS Knowledge Bases, by Means of Coordinating Contexts of a Specialized Language of Their Communication","year":2024,"lang":"en","type":"book-chapter","venue":"Studies in systems, decision and control","topic":"Optics and Image Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Peter's Hospital","funders":"","keywords":"Situational ethics; Situation awareness; Control (management); Robot; Computer science; Human–computer interaction; Knowledge management; Engineering; Psychology; Artificial intelligence; Social psychology; Aerospace 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":[0.0009394895,0.000287705,0.00191299,0.0004721158,0.0000490328,0.00002657251,0.0002540207,0.0001446641,0.00001798672],"category_scores_gemma":[0.0005517453,0.0002262741,0.0002925051,0.0001204832,0.0002427939,0.0001238193,0.0001659306,0.0001310815,3.480536e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003884745,"about_ca_system_score_gemma":0.00004617707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001997652,"about_ca_topic_score_gemma":0.0004454238,"domain_scores_codex":[0.9974887,0.00003148026,0.001755993,0.0002599662,0.0003353522,0.0001284876],"domain_scores_gemma":[0.9942821,0.001380288,0.001962051,0.0003304227,0.002034273,0.00001083972],"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":[0.004389476,0.0005474529,0.001593909,0.02224056,0.01246863,0.000004899311,0.01275308,0.01874478,0.03342249,0.8142713,0.004177483,0.07538598],"study_design_scores_gemma":[0.0150871,0.0003325327,0.00005923098,0.01876274,0.003598087,0.000001879907,0.02866233,0.8790904,0.0007668689,0.04915498,0.003638528,0.0008452787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.07638038,0.6048437,0.2263267,0.0003885838,0.00162103,0.01098472,0.01057679,0.00007140385,0.06880666],"genre_scores_gemma":[0.9974385,0.00066337,0.0002099292,0.00002602798,0.00009194917,0.00002416449,0.0000738993,0.00003150804,0.001440668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9210581,"threshold_uncertainty_score":0.922719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03810065936538732,"score_gpt":0.3075396692837475,"score_spread":0.2694390099183602,"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."}}