{"id":"W2890491818","doi":"10.1109/icra.2018.8460840","title":"Deep Learning a Quadrotor Dynamic Model for Multi-Step Prediction","year":2018,"lang":"en","type":"article","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Initialization; Computer science; Artificial neural network; Artificial intelligence; Recurrent neural network; Deep learning; Motion (physics); Exploit; Black box; State (computer science); Machine learning; Algorithm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002752818,0.0006076999,0.0005459124,0.0002455324,0.0001827335,0.0004062682,0.0009056117,0.0005304693,0.001524876],"category_scores_gemma":[0.0007311166,0.0003789331,0.0004474926,0.0002698602,0.0002454334,0.0007083677,0.0005546514,0.001074057,0.0004005181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004955719,"about_ca_system_score_gemma":0.0005584743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01138381,"about_ca_topic_score_gemma":0.01437036,"domain_scores_codex":[0.9998775,0.00001388438,0.000006406746,0.00005025407,0.00003271717,0.00001934262],"domain_scores_gemma":[0.9998179,0.00006187523,0.00003234114,0.00002605826,0.00004778954,0.00001411195],"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":[0.00002938562,0.00001710089,0.000632891,0.00001980097,0.00002712656,0.00003340119,0.00001201759,0.9706913,0.002832077,0.00144419,0.0004355192,0.02382522],"study_design_scores_gemma":[5.388952e-7,0.00000377421,0.00004324895,6.453066e-7,9.829171e-7,0.000002242352,4.84955e-7,0.9995059,0.0001947371,0.0001738764,0.00007276338,8.213559e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02464559,0.0002015612,0.9727048,0.0001283708,0.00005102645,0.00001699472,0.0001820141,0.0007127119,0.001356982],"genre_scores_gemma":[0.9035636,0.0002084648,0.09144419,0.0001013676,0.00003474751,0.00007109594,0.0004714368,0.00009884335,0.004006291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01138381,"threshold_uncertainty_score":0.0226351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0288259425513264,"score_gpt":0.3004484498482299,"score_spread":0.2716225072969035,"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."}}