{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001552022,0.0009740063,0.0006181682,0.001557604,0.002716325,0.005980503,0.00129068,0.001984025,0.4440563],"category_scores_gemma":[0.008557316,0.0003065755,0.000611431,0.001004571,0.0006141327,0.00271635,0.002258442,0.005149121,0.3214719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002281978,"about_ca_system_score_gemma":0.002082066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004987392,"about_ca_topic_score_gemma":0.008931051,"domain_scores_codex":[0.9988747,0.0001650646,0.00006378096,0.0001905639,0.0005841366,0.0001216469],"domain_scores_gemma":[0.9947281,0.0004936295,0.0001206153,0.0003222522,0.003238776,0.001096532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001161144,0.000005642496,0.0000242015,0.00002951586,6.060732e-7,0.00002504833,0.00002395541,0.00002113666,0.00006764918,0.001641336,0.9878448,0.01030457],"study_design_scores_gemma":[0.000001678809,0.000004848571,0.00009105392,0.00003933215,5.077667e-7,0.00001889893,0.00003188309,0.00001307817,0.00003589788,0.0004183886,0.9993418,0.000002620487],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.0005305674,0.005167321,0.001734648,0.05248454,0.3682302,0.000254956,0.003420606,0.001016112,0.5671611],"genre_scores_gemma":[0.003269815,0.002060381,0.000528593,0.006715585,0.03061972,0.00008976676,0.001761343,0.0005243712,0.9544303],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.5559437,"threshold_uncertainty_score":0.7929862,"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."}}