{"id":"W7095105076","doi":"","title":"3rd World Congress on Industrial Process Tomography, Banff, Canada Optimal Control in Process Tomography","year":2008,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Optimal control; Process (computing); Process control; Control (management); Tomography; Control system; Automatic control","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":[0.0001258422,0.0004732812,0.0005454116,0.0009304133,0.000136787,0.00004115304,0.0004387554,0.0001970663,0.000131316],"category_scores_gemma":[0.0000245509,0.0004023157,0.0001772818,0.004276222,0.0001292773,0.0002111257,0.00001265373,0.0007887739,0.000005252138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008760396,"about_ca_system_score_gemma":0.0002740997,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01667819,"about_ca_topic_score_gemma":0.2005808,"domain_scores_codex":[0.9973509,0.00004217004,0.0005467734,0.0004799445,0.0006475969,0.0009326644],"domain_scores_gemma":[0.999115,0.0001380919,0.00006552749,0.0002599728,0.0001165075,0.0003049054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001219016,0.0007789232,0.8570272,0.0003549777,0.0005605222,0.0008148067,0.0003220226,0.05246384,0.0006536436,0.000372703,0.07665868,0.008773615],"study_design_scores_gemma":[0.08646601,0.006038325,0.3222032,0.002711115,0.0006848325,0.0005350689,0.002040978,0.1770917,0.2841835,0.001813508,0.09580018,0.02043156],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985947,0.0003942013,0.00005699627,0.0002341256,0.0007894704,0.0007347345,0.00005479617,0.0004923112,0.01129638],"genre_scores_gemma":[0.9986734,0.00003133977,0.00004329047,0.0004844032,0.0002462799,0.0001768505,0.00001563796,0.00005101496,0.0002777811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.534824,"threshold_uncertainty_score":0.9998429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043867555760953,"score_gpt":0.1997999548550347,"score_spread":0.1893612792974252,"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."}}