{"id":"W2319069892","doi":"10.2514/6.2011-6294","title":"Prognostics-enhanced Receding Horizon Mission Planning for Field Unmanned Vehicles","year":2011,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Prognostics; Field (mathematics); Computer science; Horizon; Aerospace engineering; Aeronautics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004770929,0.0002365357,0.0003101356,0.00009652958,0.0003686791,0.0001923814,0.0005779236,0.0001505896,0.000003482477],"category_scores_gemma":[0.0003860443,0.0002235563,0.00005303207,0.0002393147,0.00007258863,0.0005051293,0.00007116624,0.000176069,0.000005325489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002385223,"about_ca_system_score_gemma":0.0001291653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002821584,"about_ca_topic_score_gemma":7.342424e-7,"domain_scores_codex":[0.9983226,0.00007279244,0.0003928932,0.000577483,0.0002150535,0.0004191507],"domain_scores_gemma":[0.9983252,0.0004797736,0.000244878,0.0003644618,0.0004470759,0.0001386304],"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":[0.0006936697,0.0002891554,0.0420878,0.0005211332,0.0003136627,0.00007066134,0.01598313,0.0006745476,0.0998463,0.2484577,0.006484035,0.5845782],"study_design_scores_gemma":[0.006654084,0.002525752,0.02439762,0.002681458,0.0001325934,0.00003425683,0.0006031688,0.7826594,0.09179815,0.08370133,0.003447086,0.001365134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03199111,0.0004690923,0.9639446,0.0005316611,0.0005529499,0.0005471964,0.000005946793,0.0002106362,0.001746807],"genre_scores_gemma":[0.9133734,0.0000189491,0.08592556,0.0002780462,0.0001004699,0.00009104499,0.00001094986,0.00001298919,0.0001886452],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8813822,"threshold_uncertainty_score":0.9116361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04299454466691423,"score_gpt":0.274762409849435,"score_spread":0.2317678651825207,"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."}}