{"id":"W4390403175","doi":"10.3390/machines12010023","title":"Design and Control of Autonomous Flying Excavator","year":2023,"lang":"en","type":"article","venue":"Machines","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Excavator; Drone; Software; Excavation; Digging; Engineering; Computer science; Simulation; Embedded system; Real-time computing; Mechanical engineering; Operating system; Geotechnical engineering","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":[0.0001748562,0.0004084642,0.0003173666,0.0002008436,0.0004012014,0.0006531974,0.0007894735,0.0005874895,0.002109684],"category_scores_gemma":[0.0002745787,0.000248873,0.0002277519,0.0001036053,0.0003631526,0.0002723371,0.0006811416,0.0003483153,0.0004613013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002077854,"about_ca_system_score_gemma":0.0006038144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00378025,"about_ca_topic_score_gemma":0.002866915,"domain_scores_codex":[0.9998517,0.00001438896,0.000006429816,0.00004828193,0.0000545262,0.0000246465],"domain_scores_gemma":[0.9998786,0.00002102634,0.000027074,0.00001185671,0.00004470049,0.00001672135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002804819,0.00008562381,0.001844805,0.0004814322,0.00007994531,0.0009574558,0.0005513891,0.7363574,0.1400919,0.01049534,0.002174953,0.1065993],"study_design_scores_gemma":[0.00005816443,0.0003198906,0.0008121458,0.00001883597,0.00001970906,0.0001301878,0.0000770843,0.9825819,0.008026484,0.0007964439,0.007142767,0.0000164384],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1003661,0.00041188,0.876491,0.0002170412,0.0001255649,0.0001956905,0.0001021274,0.001069738,0.02102095],"genre_scores_gemma":[0.9522157,0.0001849761,0.04101993,0.00005094062,0.00002204389,0.0002317034,0.00006322045,0.00002820039,0.006183233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00378025,"threshold_uncertainty_score":0.007516503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02458029511214443,"score_gpt":0.258909988517694,"score_spread":0.2343296934055495,"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."}}