{"id":"W2921598390","doi":"","title":"An Introduction to Fast Time Simulations for RPAS Collision Avoidance System Evaluation","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Collision avoidance; Computer science; Collision; Collision avoidance system; Computer security","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01526103,0.0003077936,0.0004148713,0.0004531981,0.0007812449,0.001155941,0.002495503,0.000293675,0.00006430289],"category_scores_gemma":[0.004711083,0.0003301587,0.0002216399,0.001079883,0.0001349589,0.0004816988,0.001253019,0.0003755042,0.0001336735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005992615,"about_ca_system_score_gemma":0.0005881003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002440896,"about_ca_topic_score_gemma":0.0003279125,"domain_scores_codex":[0.9894873,0.006769851,0.0006607082,0.001557548,0.001112082,0.0004125439],"domain_scores_gemma":[0.9833893,0.001707867,0.0004209935,0.004181972,0.0100095,0.0002903659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001331042,0.003271048,0.001384006,0.001494532,0.0004685655,0.000002659495,0.0286702,0.228977,0.03658459,0.1772509,0.01920658,0.5025569],"study_design_scores_gemma":[0.0002871114,0.000002412453,0.0004909551,0.000498132,0.00004724399,0.000002202364,0.00004129406,0.9711651,0.01783422,0.002848367,0.006463271,0.0003197239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06635264,0.0001230021,0.9159999,0.01430643,0.0003594081,0.001633878,0.0000936025,0.0004409943,0.0006901136],"genre_scores_gemma":[0.7610527,0.00002039052,0.2354813,0.00004827709,0.0002763756,0.000377032,0.0009829004,0.00003699811,0.001724029],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7421881,"threshold_uncertainty_score":0.9999151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02046392925994349,"score_gpt":0.2941480854491307,"score_spread":0.2736841561891872,"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."}}