{"id":"W4236528709","doi":"10.1109/ccta.2018.8511581","title":"CCTA 2018 Organization","year":2018,"lang":"en","type":"article","venue":"2018 IEEE Conference on Control Technology and Applications (CCTA)","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Northwestern Polytechnical University; Lunds Universitet; National Technical University of Athens; Ritsumeikan University; Norges Teknisk-Naturvitenskapelige Universitet; Danmarks Tekniske Universitet; University of Waterloo; Linköpings Universitet; Università di Pisa; Technische Universiteit Eindhoven; Università degli Studi di Pavia; Aarhus Universitet; Technische Universiteit Delft; Aalborg Universitet; Centre National de la Recherche Scientifique; Mitsubishi Electric Research Laboratories; National and Kapodistrian University of Athens; Massachusetts Institute of Technology; University of California, San Diego; University of New South Wales; Kungliga Tekniska Högskolan; Università degli Studi di Milano; University of Washington; Northwestern University","keywords":"Computer science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002095672,0.0001551313,0.00020797,0.0002347094,0.002108501,0.00007856449,0.0003156753,0.0003438139,0.0002847697],"category_scores_gemma":[0.0001164587,0.0001409928,0.00002968474,0.001048169,0.002097409,0.0001244966,0.00004452721,0.0001856566,0.000455158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005633653,"about_ca_system_score_gemma":0.0001594714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001018653,"about_ca_topic_score_gemma":0.0009048884,"domain_scores_codex":[0.9988238,0.00005282311,0.0002158228,0.0004033848,0.0001697815,0.000334447],"domain_scores_gemma":[0.9987695,0.00007596185,0.0001314317,0.0003989788,0.000530882,0.00009324745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009007746,0.00006646237,0.0014525,0.000003187359,0.00003151094,4.937639e-7,0.0003317106,4.159806e-7,0.001696163,0.9760965,0.006249735,0.01406238],"study_design_scores_gemma":[0.001367514,0.0003278696,0.003851526,0.00003827531,0.0001136787,0.000008058004,0.002478482,0.0003564025,0.001417329,0.1112411,0.8782798,0.0005199334],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1928149,0.0009866655,0.1843749,0.2473318,0.00206784,0.005926427,0.0002819303,0.003073708,0.3631418],"genre_scores_gemma":[0.9951148,0.0002827798,0.0002959859,0.000421843,0.0006123985,0.000213194,0.000008552941,0.00001427352,0.003036179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8720301,"threshold_uncertainty_score":0.9991906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814386622761459,"score_gpt":0.2870119210983016,"score_spread":0.268868054870687,"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."}}