{"id":"W2304177889","doi":"10.1007/978-3-319-24729-8_6","title":"Introduction to Flying Robots","year":2015,"lang":"en","type":"book-chapter","venue":"Springer briefs in electrical and computer engineering","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Robot; Flocking (texture); Rendezvous; Thrust; Control theory (sociology); Engineering; Control engineering; Computer science; Control (management); Aerospace engineering; Artificial intelligence; Physics; Spacecraft","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003667542,0.0004862619,0.0006246828,0.0005746742,0.00005223065,0.0002745757,0.0007336254,0.0002698891,0.000006060939],"category_scores_gemma":[0.00003953026,0.0005312446,0.00009667129,0.0002846214,0.00001274329,0.0002518366,0.0005356456,0.0006624483,0.00008679355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000374063,"about_ca_system_score_gemma":0.00006067338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002127614,"about_ca_topic_score_gemma":0.000003197812,"domain_scores_codex":[0.9973658,0.00001866111,0.0005403032,0.001013441,0.0004586213,0.0006031564],"domain_scores_gemma":[0.9987555,0.00006785676,0.0001014547,0.0006205657,0.0001142149,0.0003404723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002110366,0.00005347055,0.00003791005,0.0001289268,0.0001604063,0.0002339625,0.0002462229,0.107752,0.0003226959,0.5195149,0.01026911,0.3612592],"study_design_scores_gemma":[0.000469673,0.0001403284,0.0003303703,0.0001978893,0.00001480665,0.00008934786,2.537284e-7,0.7113156,0.0000324493,0.001070605,0.285549,0.0007896389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00008091516,0.001381227,0.993049,0.0008137334,0.001544136,0.0004226611,0.000002602849,0.0004157641,0.002289978],"genre_scores_gemma":[0.2584929,0.0006443811,0.5092467,0.002963275,0.05604325,0.0006451299,0.0001687274,0.001254911,0.1705407],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6035636,"threshold_uncertainty_score":0.9997139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269152632884278,"score_gpt":0.202439327655057,"score_spread":0.1897478013262142,"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."}}