{"id":"W4381194064","doi":"10.11159/cdsr23","title":"Proceedings of the 10th International Conference on Control, Dynamic Systems, and Robotics (CDSR 2023)","year":2023,"lang":"en","type":"paratext","venue":"Proceedings of the International Conference of Control, Dynamic systems, and Robotics","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Royal Society; Royal Society of Canada","keywords":"Robotics; Computer science; Control (management); Aerospace engineering; Artificial intelligence; Aeronautics; Systems engineering; Robot; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008161885,0.0008478483,0.001812653,0.0004986536,0.0001599681,0.0005518257,0.002197162,0.0006716294,0.00002558609],"category_scores_gemma":[0.0002545986,0.0006089009,0.0003138978,0.0003251412,0.0005045126,0.0003018808,0.0003753488,0.000834347,0.00002493153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003041875,"about_ca_system_score_gemma":0.0002156863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001675775,"about_ca_topic_score_gemma":0.00003026096,"domain_scores_codex":[0.9950125,0.00003512317,0.002156686,0.0006791817,0.001590574,0.0005259946],"domain_scores_gemma":[0.9937624,0.0002640501,0.002334506,0.0002995322,0.003192066,0.0001474609],"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":[0.000272148,0.0001873501,0.001632298,0.01031367,0.004262231,0.000002712512,0.0005185922,0.7231277,0.02893014,0.2081779,0.02240481,0.000170398],"study_design_scores_gemma":[0.001830496,0.0001389418,0.0007552408,0.00834575,0.0003739128,0.00007140292,0.001193468,0.9856403,0.00006952128,0.0003864188,0.0006177408,0.0005768147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1908291,0.02894435,0.02524415,0.0211431,0.2083771,0.0288713,0.02745892,0.001788825,0.4673432],"genre_scores_gemma":[0.9788961,0.002891966,0.0001303819,0.00002659387,0.0002893285,0.00008361804,0.00005308418,0.0001368606,0.01749209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.788067,"threshold_uncertainty_score":0.9996362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01923010345084223,"score_gpt":0.2439616747699367,"score_spread":0.2247315713190945,"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."}}