{"id":"W2050872285","doi":"10.1260/1756-8293.2.4.211","title":"Modeling and Control of a Hovering Mini Tail-Sitter","year":2010,"lang":"en","type":"article","venue":"International Journal of Micro Air Vehicles","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Defence Research and Development Canada","keywords":"Control theory (sociology); Overshoot (microwave communication); Decoupling (probability); Nonlinear system; Quaternion; Attitude control; Regulator; Engineering; Control (management); Control engineering; Computer science; Mathematics; Physics; Artificial intelligence; Chemistry","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":[0.00008722607,0.0003632317,0.0002367354,0.0001581816,0.0002094391,0.0003637376,0.0003860006,0.0003162704,0.0009870393],"category_scores_gemma":[0.0001238329,0.0001761299,0.0002383941,0.00008632108,0.0002221864,0.0002524299,0.0002646009,0.0003203239,0.0001889864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001720159,"about_ca_system_score_gemma":0.000368148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004691823,"about_ca_topic_score_gemma":0.00504137,"domain_scores_codex":[0.9999443,0.000007632153,0.000002723633,0.00001099216,0.00002490663,0.000009446803],"domain_scores_gemma":[0.9999429,0.00001294653,0.00001792509,0.000005597128,0.00001561784,0.00000511198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001214056,0.00003890786,0.001754072,0.0001036133,0.00002578608,0.0002379462,0.0001294176,0.8518172,0.1125032,0.003707158,0.000401871,0.02915952],"study_design_scores_gemma":[0.000009065066,0.0001609766,0.001014056,0.000005168775,0.000008840578,0.00005455914,0.0000229455,0.9927799,0.004493754,0.0003986342,0.001046701,0.000005516939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2235527,0.0002646486,0.7661524,0.0001137447,0.00003093682,0.00009350488,0.000127566,0.0006652896,0.008999115],"genre_scores_gemma":[0.9822525,0.0001129558,0.01450784,0.00001653272,0.000006639691,0.00006646074,0.00007461337,0.00001113216,0.00295124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004691823,"threshold_uncertainty_score":0.009329021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003870470690637248,"score_gpt":0.2040841702343116,"score_spread":0.2002136995436743,"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."}}