{"id":"W4405943879","doi":"10.3390/aerospace12010021","title":"Emergency Trajectory Structure for UAVs","year":2024,"lang":"en","type":"article","venue":"Aerospace","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thales (Canada)","funders":"Agence Nationale de la Recherche","keywords":"Computer science; Context (archaeology); Workload; Key (lock); Benchmark (surveying); Architecture; Trajectory; Computational complexity theory; Representativeness heuristic; Constraint (computer-aided design); Focus (optics); Strengths and weaknesses; Operations research; Risk analysis (engineering); Engineering; Algorithm; 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":[],"consensus_categories":[],"category_scores_codex":[0.00009744646,0.000130092,0.0001125924,0.00005695192,0.00008247454,0.0001119948,0.0005285326,0.00006924584,0.00002831187],"category_scores_gemma":[0.00003748548,0.00011539,0.00007776004,0.0003195181,0.0000155958,0.0002731404,0.00006824962,0.0001297174,0.00006630585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003861725,"about_ca_system_score_gemma":0.00006689617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009630004,"about_ca_topic_score_gemma":0.00000340725,"domain_scores_codex":[0.9989884,0.00001929152,0.0001273708,0.0004027975,0.000175319,0.0002868332],"domain_scores_gemma":[0.9993894,0.00007892421,0.00002475335,0.0003938343,0.0000370726,0.0000760255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009739079,0.00006461562,0.001118048,0.0005083203,0.0002041979,0.0001887476,0.009585248,0.008557977,0.02889957,0.1592073,0.6939687,0.09768751],"study_design_scores_gemma":[0.0004397694,0.0003051213,0.004882304,0.000153757,0.00004020215,0.0001103855,0.00008644057,0.8582643,0.00748277,0.01892578,0.1084092,0.0008999601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003761121,0.002231793,0.9863863,0.00165049,0.00444723,0.0001950069,0.00001910402,0.0007019717,0.0006069877],"genre_scores_gemma":[0.2385635,0.00005575831,0.7509442,0.0001872001,0.0006220564,0.00004319919,0.00001222852,0.00004228218,0.00952957],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8497063,"threshold_uncertainty_score":0.4705468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01718228771265488,"score_gpt":0.2762173572241072,"score_spread":0.2590350695114523,"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."}}