{"id":"W3036733903","doi":"10.1109/lra.2020.3003296","title":"Active Vertical Takeoff of an Aquatic UAV","year":2020,"lang":"en","type":"article","venue":"IEEE Robotics and Automation Letters","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Takeoff; Takeoff and landing; Aerospace engineering; Aeronautics; Marine engineering; Envelope (radar); Environmental science; Engineering; Simulation; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00003001821,0.0001713647,0.00009169506,0.00007456554,0.0002280094,0.0001885977,0.0002009725,0.0001544228,0.00121706],"category_scores_gemma":[0.0000582407,0.0000638636,0.00009701859,0.00003806112,0.0001548608,0.0001655096,0.0003583234,0.0001004693,0.0001380619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000116928,"about_ca_system_score_gemma":0.0001699644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002063636,"about_ca_topic_score_gemma":0.00363862,"domain_scores_codex":[0.9999737,0.000002248707,7.726436e-7,0.000005115722,0.000009451549,0.000008824107],"domain_scores_gemma":[0.9999716,0.000005411772,0.000004009862,0.000003671905,0.000004682874,0.00001056679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005021391,0.0001082663,0.008201895,0.000141742,0.00003376323,0.002778961,0.0004407204,0.07497918,0.8268259,0.003514968,0.001324723,0.08114775],"study_design_scores_gemma":[0.00007480042,0.002590016,0.02094345,0.00003281151,0.00003827693,0.001003533,0.0009906777,0.7680503,0.1893612,0.001719623,0.01514161,0.00005368132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703948,0.00006129115,0.02191813,0.00005071842,0.00002382226,0.00001496618,0.00003693896,0.0001254502,0.007373863],"genre_scores_gemma":[0.995232,0.00002439179,0.002493493,0.00001116953,0.000002782248,0.000005991658,0.00002723892,0.000003575583,0.002199404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002063636,"threshold_uncertainty_score":0.004103243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02048109714108993,"score_gpt":0.2161714845096491,"score_spread":0.1956903873685592,"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."}}