{"id":"W3126841373","doi":"10.1016/j.mechatronics.2021.102483","title":"Design and development of a novel type of table tennis aerial robot player with tilting propellers","year":2021,"lang":"en","type":"article","venue":"Mechatronics","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Table (database); Workspace; Drone; Takeoff; Task (project management); Context (archaeology); Simulation; Robot; Computer science; Takeoff and landing; Engineering; Artificial intelligence; Control engineering; Human–computer interaction; Aerospace engineering; Systems engineering","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":[0.00006973966,0.00006399385,0.0001100797,0.00001797714,0.00002765036,0.000007421043,0.00004245217,0.00003108828,0.00001168785],"category_scores_gemma":[0.000007077994,0.00005722881,0.00000666774,0.000123588,0.00001077276,0.00002141281,0.00002457638,0.00004578468,0.000001286043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002043721,"about_ca_system_score_gemma":0.0001467516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002687837,"about_ca_topic_score_gemma":0.000005955568,"domain_scores_codex":[0.9996004,0.00000320921,0.0001338398,0.00008347106,0.00007199726,0.0001071465],"domain_scores_gemma":[0.99976,0.00002003928,0.0000299954,0.0001013508,0.00006499707,0.00002365443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001212398,0.00004689306,0.00008040315,0.00008634845,0.00006603254,4.613292e-7,0.0004732921,0.6961714,0.3003782,0.00114631,0.0000417006,0.00149681],"study_design_scores_gemma":[0.0009617179,0.00006217897,0.0001295857,0.00009316488,0.00003810139,0.000008000572,0.0003525925,0.3030504,0.6915404,0.00004114417,0.00349457,0.0002281278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1390057,0.0002947353,0.8603373,0.0000116311,0.00004597695,0.0001373988,0.000002310652,0.00002840981,0.0001365582],"genre_scores_gemma":[0.5132502,0.00001621384,0.4866675,0.000002235129,0.00000805007,0.000007518788,0.000004593714,0.00001436449,0.00002923096],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.393121,"threshold_uncertainty_score":0.2333723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04230031170289644,"score_gpt":0.2279718316550651,"score_spread":0.1856715199521687,"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."}}