{"id":"W4235317281","doi":"10.11159/cdsr20","title":"Proceedings of the 7th International Conference of Control, Dynamic Systems, and Robotics (CDSR'20)","year":2020,"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":"Natural Sciences and Engineering Research Council of Canada; Centers for Disease Control and Prevention; Engineering Research Centers; University of Minnesota; National Science Foundation","keywords":"Robotics; Computer science; Artificial intelligence; Medical robotics; Control (management); Robot; Aerospace engineering; Aeronautics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002751678,0.001465511,0.001374717,0.001378439,0.0007744982,0.005128548,0.001623152,0.001995532,0.1366714],"category_scores_gemma":[0.003634446,0.0003054212,0.0007064861,0.001072944,0.0009627605,0.00230751,0.002148453,0.002899342,0.0832072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001027913,"about_ca_system_score_gemma":0.001952188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00251416,"about_ca_topic_score_gemma":0.003663856,"domain_scores_codex":[0.9975007,0.0005029636,0.0001352654,0.0003283025,0.001311132,0.00022157],"domain_scores_gemma":[0.996911,0.0003928833,0.00009357718,0.0003655835,0.001595372,0.0006417243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002883211,0.000167314,0.0004007537,0.0004003928,0.00004864288,0.0001572615,0.0001015731,0.001107984,0.003314451,0.006654133,0.7483945,0.2389645],"study_design_scores_gemma":[0.00002208318,0.0001244499,0.0008381085,0.0001490732,0.00002648236,0.0001939381,0.00006903578,0.003073459,0.001336946,0.002027173,0.99212,0.00001923851],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01244908,0.06238707,0.2044397,0.01363643,0.1521416,0.0009896562,0.004176865,0.005584068,0.5441955],"genre_scores_gemma":[0.03455123,0.02179193,0.03306855,0.002104714,0.01110737,0.000505082,0.01115341,0.001409773,0.8843079],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1366714,"threshold_uncertainty_score":0.4572114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01677164118755887,"score_gpt":0.2303709651477207,"score_spread":0.2135993239601619,"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."}}