{"id":"W1576243812","doi":"","title":"Attitude and heading reference system for small unmanned aircraft collision avoidance maneuvers","year":2012,"lang":"en","type":"article","venue":"Memorial University Research Repository (Memorial University)","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Atlantic Canada Opportunities Agency","keywords":"Attitude and heading reference system; Heading (navigation); Collision avoidance; Acceleration; Autopilot; Collision; Flight simulator; Aerospace engineering; Aeronautics; Attitude control; Simulation; Control theory (sociology); Engineering; Computer science; Flight dynamics; Aerodynamics; Artificial intelligence; Control (management); Computer security","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003385715,0.0003931623,0.0004109298,0.0004062056,0.0003460622,0.0004408119,0.0005751578,0.0002873328,0.002110606],"category_scores_gemma":[0.0008846329,0.0001080644,0.0001577667,0.0004093506,0.000197787,0.0004070433,0.0004956175,0.0004601464,0.00131924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002523813,"about_ca_system_score_gemma":0.000476934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002457418,"about_ca_topic_score_gemma":0.002649324,"domain_scores_codex":[0.9997404,0.00005125362,0.00001412902,0.00004448344,0.0001338923,0.00001586508],"domain_scores_gemma":[0.9997416,0.00002983463,0.00003911121,0.00005895786,0.0001196763,0.00001078705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003256622,0.00007772393,0.002207471,0.0002891386,0.00003813126,0.0001927919,0.0003757982,0.1858973,0.06346561,0.03011467,0.01394784,0.7030679],"study_design_scores_gemma":[0.00008918939,0.0004346019,0.002947464,0.00005864823,0.00003301484,0.0001437373,0.00009334968,0.8967804,0.01677331,0.005583633,0.07702039,0.00004226498],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01381671,0.0004231268,0.9768955,0.0001159263,0.000201467,0.00008298887,0.0001782558,0.002668048,0.005617968],"genre_scores_gemma":[0.6311394,0.0007560461,0.3566438,0.000125416,0.000194522,0.0003072103,0.001245753,0.0001805438,0.009407299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002457418,"threshold_uncertainty_score":0.007060647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03312502780243466,"score_gpt":0.2431844437220075,"score_spread":0.2100594159195728,"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."}}