{"id":"W4391306580","doi":"10.1109/rose60297.2023.10410823","title":"ROSE 2023 Preface","year":2023,"lang":"en","type":"article","venue":"","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Okinawa Institute of Science and Technology Graduate University","keywords":"Robotics; Session (web analytics); Artificial intelligence; Robot; Computer science; Economic shortage; Python (programming language); Coronavirus disease 2019 (COVID-19); Deep learning; Data science; Engineering management; World Wide Web; Engineering; Infectious disease (medical specialty); Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004567308,0.00004187816,0.00005022427,0.00003312605,0.00001412159,0.00001959576,0.00004702096,0.00002537023,0.00009705476],"category_scores_gemma":[0.000002986057,0.00003608086,0.00001599908,0.0001882245,0.000002475776,0.00002540791,0.00001055427,0.00002803473,0.0042004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006993609,"about_ca_system_score_gemma":0.000001690732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007141781,"about_ca_topic_score_gemma":0.000003324053,"domain_scores_codex":[0.9997124,0.000002520811,0.00006810579,0.00004729267,0.00005254526,0.0001171523],"domain_scores_gemma":[0.9998636,0.000009447991,0.000002910276,0.00009280442,0.000005030281,0.00002621906],"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":[1.974486e-7,0.000002626032,0.0001524128,0.00005252733,0.00002075079,0.00001251949,0.0000841361,0.716243,0.01465897,0.00108867,0.2662041,0.001479977],"study_design_scores_gemma":[0.00006781703,0.000004176023,0.002214095,0.00001053752,0.000001512215,0.000001473972,0.00005268811,0.9562166,0.003328469,0.00008063833,0.0379291,0.00009290085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4463062,0.0002990033,0.008129776,0.0002756906,0.002970935,0.0002782521,0.0000133713,0.01263837,0.5290884],"genre_scores_gemma":[0.9763283,0.00002847523,0.0001363754,0.000008887319,0.00004711804,0.00000578941,0.000005554001,0.00001725093,0.02342226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5300221,"threshold_uncertainty_score":0.9965749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352671943813228,"score_gpt":0.2137424238662007,"score_spread":0.2002157044280685,"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."}}