{"id":"W4385541147","doi":"10.1109/mcs.2023.3273828","title":"2024 American Control Conference in Toronto, Canada [Conference Reports]","year":2023,"lang":"en","type":"article","venue":"IEEE Control Systems","topic":"History of Computing Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Control (management); Library science; Computer science; Operations research; Political science; Engineering; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000977559,0.0003281867,0.0008145926,0.0001846017,0.0001397928,0.0002562781,0.001666088,0.0001100077,0.00001357427],"category_scores_gemma":[0.000270534,0.0003261264,0.00007694826,0.0007121708,0.000172424,0.0003500888,0.0001163116,0.0002974437,0.00005448073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137354,"about_ca_system_score_gemma":0.001352224,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7203016,"about_ca_topic_score_gemma":0.7126685,"domain_scores_codex":[0.9965197,0.0002705803,0.0008376584,0.0008417263,0.0007023096,0.00082806],"domain_scores_gemma":[0.9972523,0.0003775581,0.0005144271,0.001430621,0.0002543411,0.0001707134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001615807,0.0003018852,0.04868186,0.0005092378,0.0006957113,0.01654612,0.003482725,0.0705891,0.01827355,0.180004,0.5612039,0.09955036],"study_design_scores_gemma":[0.001718193,0.0002169839,0.01033189,0.0002520496,0.0000185712,0.0001930548,0.0008835988,0.9214082,0.00008891195,0.0008074762,0.06310988,0.0009711659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1411646,0.002921156,0.7740294,0.009678123,0.03074437,0.003498052,0.00007664123,0.006917054,0.03097054],"genre_scores_gemma":[0.9977393,0.00001412819,0.000263705,0.0002257396,0.0001317862,0.000171033,0.000001442144,0.00002004615,0.001432838],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8565747,"threshold_uncertainty_score":0.9999191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01398594925883792,"score_gpt":0.2322911315521464,"score_spread":0.2183051822933084,"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."}}