{"id":"W3201304010","doi":"10.1109/mercon52712.2021.9525652","title":"Quadcopter Disturbance Estimation using Different Learning Methods","year":2021,"lang":"en","type":"article","venue":"","topic":"Gaussian Processes and Bayesian Inference","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quadcopter; Computer science; Artificial neural network; Aerodynamics; Process (computing); Artificial intelligence; Control theory (sociology); Control engineering; System dynamics; Vehicle dynamics; Gaussian process; Machine learning; Engineering; Gaussian; Control (management); Automotive 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":[0.001054463,0.0008203224,0.0008631339,0.001200977,0.0003086425,0.0007467758,0.001029165,0.0007162242,0.0008296501],"category_scores_gemma":[0.003232899,0.0003188706,0.0005490117,0.0008800924,0.0004009844,0.0008875318,0.0008134088,0.0006653829,0.0003550613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006299435,"about_ca_system_score_gemma":0.0005960648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0106568,"about_ca_topic_score_gemma":0.006558223,"domain_scores_codex":[0.9992424,0.0001102791,0.00006122755,0.0002962668,0.0002059982,0.00008390856],"domain_scores_gemma":[0.9988127,0.0004134064,0.0001802708,0.0001560746,0.0003919972,0.00004564601],"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":[0.000269348,0.0001427542,0.005778879,0.0001016068,0.0001099292,0.00007475815,0.00006723811,0.5699855,0.005605923,0.0009993706,0.00100632,0.4158585],"study_design_scores_gemma":[0.000006382942,0.00002303018,0.001152636,0.000004033941,0.000005389096,0.00001633256,0.000008615046,0.9971814,0.001154271,0.0002528421,0.000189303,0.000005820171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1149611,0.001035773,0.8796672,0.0001656627,0.00007293322,0.00006648059,0.0001504516,0.001785753,0.002094585],"genre_scores_gemma":[0.8684451,0.0003570277,0.1287137,0.00009104106,0.00005236402,0.00005586627,0.0004443928,0.00008056213,0.001759965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0106568,"threshold_uncertainty_score":0.02118957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02730823881639808,"score_gpt":0.3340806802318916,"score_spread":0.3067724414154935,"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."}}