{"id":"W4408972054","doi":"10.1007/978-981-96-3161-2","title":"Proceedings of the 2nd International Conference on the Frontiers of Robotics and Software Engineering (FRSE 2024)","year":2025,"lang":"en","type":"book","venue":"Lecture notes in networks and systems","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Linnéuniversitetet; Universiti Teknologi Petronas; Frankfurt University of Applied Sciences; University of Electronic Science and Technology of China; Politechnika Warszawska; Southwest Jiaotong University; University of Waterloo; York University","keywords":"Robotics; Software engineering; Engineering; Engineering ethics; Engineering management; Artificial intelligence; Computer science; Library science; Robot","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":[],"consensus_categories":[],"category_scores_codex":[0.0001913553,0.0002511531,0.0004680334,0.0001044426,0.0000306454,0.0000749911,0.0002556021,0.0003440924,0.000002089363],"category_scores_gemma":[0.00006964971,0.0001563902,0.00005854923,0.000116543,0.00005682296,0.00002267675,0.00006614501,0.0005065631,6.717744e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005821849,"about_ca_system_score_gemma":0.00002820877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001349695,"about_ca_topic_score_gemma":0.000009110679,"domain_scores_codex":[0.9990418,0.00001108216,0.0004248137,0.0001749528,0.0001901252,0.0001572015],"domain_scores_gemma":[0.9993772,0.0002080194,0.0001561089,0.000145783,0.00008813377,0.00002477796],"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":[0.000003265788,0.000003077561,0.0007742972,0.0007487921,0.0001336939,7.91398e-7,0.0001407669,0.9861494,0.00002485253,0.005472855,0.006227792,0.000320383],"study_design_scores_gemma":[0.0001121383,0.00001532311,0.0001326814,0.0039358,0.00003546568,0.00000598563,0.00002660698,0.99366,0.00001636258,0.0002417156,0.0016609,0.0001570613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009454555,0.1394704,0.682439,0.001214047,0.063509,0.008125667,0.0004764612,0.0006449461,0.09466589],"genre_scores_gemma":[0.9919715,0.001345488,0.0003398466,0.00002222251,0.0004128831,0.00002654565,0.00001171483,0.00005608762,0.005813736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9825169,"threshold_uncertainty_score":0.6377407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008289522287101562,"score_gpt":0.185916491555053,"score_spread":0.1776269692679514,"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."}}