{"id":"W4392367289","doi":"10.32920/25336339","title":"Analysis of the Dynamics and Control of a Morphing Quadrotor","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Morphing; Control theory (sociology); Controller (irrigation); Moment of inertia; Linear-quadratic regulator; Inertia; Position (finance); Rotor (electric); Thrust; Computer science; Moment (physics); Variable (mathematics); Stability (learning theory); Mathematics; Engineering; Control (management); Physics; Mathematical analysis; Aerospace engineering; Artificial intelligence","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":[0.0002184,0.0001787199,0.0007278721,0.0002553574,0.000008229136,0.00001808217,0.0002211609,0.0001582855,0.0000164704],"category_scores_gemma":[0.00003993916,0.0001231622,0.0003594502,0.0002660012,0.00005045968,0.00001258598,0.0002795025,0.0003374563,0.00000120893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007444697,"about_ca_system_score_gemma":0.00002876231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002854998,"about_ca_topic_score_gemma":0.0005708871,"domain_scores_codex":[0.9990486,0.00003726138,0.0004542844,0.0001754989,0.0001828652,0.0001015272],"domain_scores_gemma":[0.9992175,0.0001247587,0.0001224487,0.0004285947,0.00007796523,0.0000287332],"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":[0.00002463852,0.00002671167,0.01736786,0.002992636,0.02424484,0.000005936645,0.0005824871,0.9367624,0.005344165,0.010069,0.00008924219,0.002490072],"study_design_scores_gemma":[0.000132237,0.000005659844,0.00524269,0.0001555634,0.002089488,6.135481e-7,0.00006331557,0.9919753,0.0000997085,0.0001110115,0.00001945367,0.0001049284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5481659,0.006526778,0.4356511,0.0002477718,0.001288646,0.001400514,0.001355451,0.0002447996,0.005119113],"genre_scores_gemma":[0.9992316,0.00001612911,0.0003072168,0.000007134797,0.00005135244,0.00002375295,0.000007212145,0.00002984907,0.0003257176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4510658,"threshold_uncertainty_score":0.5022408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00781526490037838,"score_gpt":0.2176343019918798,"score_spread":0.2098190370915015,"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."}}