{"id":"W4382242947","doi":"10.1007/978-3-031-29933-9_18","title":"Onboard Trajectory Coordination of Multiple Unmanned Air Vehicles","year":2023,"lang":"en","type":"book-chapter","venue":"Sustainable aviation","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Trajectory; Reliability (semiconductor); Aerospace engineering; Rotor (electric); Computer science; Engineering; Control engineering; Control (management); Simulation; Automotive engineering; Control theory (sociology); Artificial intelligence; Mechanical engineering; Physics","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"],"consensus_categories":[],"category_scores_codex":[0.0005917505,0.0003025019,0.0004027752,0.0006220592,0.0001547815,0.00005771683,0.0006610599,0.0003625528,0.000006635797],"category_scores_gemma":[0.0002742018,0.0003405691,0.0001436854,0.0002490527,0.00005639736,0.0005113395,0.0002330136,0.0002937166,0.0001156739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004200223,"about_ca_system_score_gemma":0.000321932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009900633,"about_ca_topic_score_gemma":0.000003258656,"domain_scores_codex":[0.9978635,0.00005160622,0.0005020539,0.0005525757,0.0006233111,0.0004069326],"domain_scores_gemma":[0.9976825,0.0003103832,0.0005728046,0.0006609398,0.0006973742,0.00007599902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002670466,0.00006289854,0.0002450375,0.0008239727,0.0001485122,0.0002535628,0.001595354,0.01940225,0.0002325514,0.9491616,0.007495319,0.02055227],"study_design_scores_gemma":[0.003293489,0.001075561,0.01330552,0.001179839,0.0002423807,0.00002577539,0.001139702,0.5512648,0.003924024,0.3804398,0.04137397,0.002735161],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.000718239,0.0005849743,0.8497027,0.001816595,0.002358502,0.003273651,0.00006140184,0.002373143,0.1391108],"genre_scores_gemma":[0.04839943,0.0000319183,0.02230196,0.00008878054,0.0002209941,0.00008206505,0.0002173395,0.0001044896,0.928553],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8274007,"threshold_uncertainty_score":0.9999046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01727761615363096,"score_gpt":0.2294771530890562,"score_spread":0.2121995369354252,"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."}}