{"id":"W2535596849","doi":"10.1016/j.robot.2016.10.013","title":"Control, localization and human interaction with an autonomous lighter-than-air performer","year":2016,"lang":"en","type":"article","venue":"Robotics and Autonomous Systems","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; McGill University; Université Laval","funders":"Université du Québec à Montréal","keywords":"Computer science; Performing arts; Context (archaeology); Robotics; Mechatronics; Embodied cognition; Robot; Mainstream; Field (mathematics); Human–computer interaction; Control (management); Artificial intelligence; Visual arts","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003270789,0.0002583812,0.0003400253,0.0001429865,0.000334788,0.000356325,0.0002631101,0.0001121817,0.000001722784],"category_scores_gemma":[0.000009865069,0.0001691209,0.00002478859,0.000115031,0.00008910654,0.0009052705,0.00007539754,0.0001025495,0.0000140112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001064768,"about_ca_system_score_gemma":0.0000669987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002143745,"about_ca_topic_score_gemma":0.00001334661,"domain_scores_codex":[0.9983829,0.0001097067,0.0003704185,0.0005728431,0.0002081348,0.0003559967],"domain_scores_gemma":[0.9989067,0.00008291977,0.0002322173,0.0004542094,0.0001134666,0.00021043],"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":[0.0001174398,0.0006946946,0.08520468,0.0005350251,0.0005042767,0.0003110191,0.005545953,0.6204912,0.007140169,0.2239231,0.0004740654,0.05505834],"study_design_scores_gemma":[0.001205547,0.0009688154,0.006273097,0.0002967816,0.00003293014,0.0004281093,0.00008154706,0.9889476,0.0001259915,0.0001469913,0.001071095,0.0004214447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0389873,0.000128403,0.9590891,0.0004356495,0.0004941711,0.0003223216,0.000004919806,0.0002223794,0.0003157524],"genre_scores_gemma":[0.9870385,0.000008006965,0.01218559,0.00007299054,0.0001590968,0.0000214538,0.000005241912,0.00002471487,0.000484414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9480512,"threshold_uncertainty_score":0.689655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299589924961771,"score_gpt":0.2357115265556985,"score_spread":0.2227156273060808,"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."}}