{"id":"W4402391449","doi":"10.1145/3643659.3648552","title":"AmbieGen at the SBFT 2024 Tool Competition - CPS-UAV Track","year":2024,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Competition (biology); Track (disk drive); Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.008704864,0.001609628,0.0007832865,0.001191032,0.001552825,0.002084096,0.002071386,0.002415935,0.02228926],"category_scores_gemma":[0.007259004,0.0005025975,0.0008944575,0.0006718839,0.001125933,0.001894807,0.003016779,0.002702439,0.006020065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001644338,"about_ca_system_score_gemma":0.003579978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01066009,"about_ca_topic_score_gemma":0.01816594,"domain_scores_codex":[0.9951993,0.001192932,0.0001066202,0.0007171736,0.001847174,0.0009368206],"domain_scores_gemma":[0.9932061,0.001417178,0.0001402206,0.0007821958,0.002105443,0.002348846],"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":[0.004797393,0.004876511,0.01075893,0.0005929149,0.000394428,0.00277429,0.001048838,0.1406718,0.04212736,0.03495516,0.4923559,0.2646466],"study_design_scores_gemma":[0.001603552,0.005199554,0.008291231,0.0001520724,0.00008846755,0.0008797835,0.0006014339,0.38739,0.03707219,0.01920084,0.5392978,0.0002231197],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.2988043,0.002487822,0.3810528,0.01073559,0.007317432,0.002681803,0.0162785,0.03682551,0.2438162],"genre_scores_gemma":[0.6981677,0.000431627,0.1767578,0.001492397,0.0003405806,0.001039161,0.03408155,0.005962704,0.08172657],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02228926,"threshold_uncertainty_score":0.07456493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007880727775701365,"score_gpt":0.2012095642344679,"score_spread":0.1933288364587665,"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."}}