{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006506959,0.0008112947,0.002173572,0.0003641444,0.0001118462,0.0003880035,0.002322949,0.0006218391,0.00002373882],"category_scores_gemma":[0.0002700067,0.0005953243,0.0003401976,0.0002880734,0.0006304069,0.0003711289,0.0004212246,0.0007490616,0.00000542196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002224034,"about_ca_system_score_gemma":0.000285146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001572062,"about_ca_topic_score_gemma":0.00001848359,"domain_scores_codex":[0.9947959,0.00003707333,0.002579843,0.0006206954,0.001516182,0.0004503278],"domain_scores_gemma":[0.9918503,0.0002178651,0.003213057,0.0002678689,0.004291337,0.0001596055],"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":[0.0003976084,0.0002493951,0.005085979,0.0222186,0.006318437,0.000002439923,0.001252787,0.6814513,0.104254,0.1695174,0.009041506,0.0002105656],"study_design_scores_gemma":[0.002062717,0.0001469183,0.0005242301,0.006947836,0.0005364378,0.00008667696,0.001382134,0.9865563,0.0002145615,0.0002746317,0.0007260802,0.0005414995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2676733,0.06514113,0.1117095,0.02469903,0.1413257,0.03493554,0.03654314,0.001374626,0.3165981],"genre_scores_gemma":[0.9930579,0.002121184,0.0003323031,0.00002479592,0.0002299204,0.0000511489,0.00005251955,0.0001082226,0.004021975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7253847,"threshold_uncertainty_score":0.9996498,"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."}}