{"id":"W2105020441","doi":"10.1109/wescan.1993.270531","title":"Modeling and control of flexible space structures using neural networks","year":2002,"lang":"en","type":"article","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Artificial neural network; Computer science; Neutral network; State space; Space (punctuation); Artificial intelligence; Orbit (dynamics); Field (mathematics); Control (management); Satellite; Scheme (mathematics); Intelligent control; Control engineering; Aerospace engineering; Engineering; Mathematics; Pure mathematics","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":[0.00002604011,0.00007555643,0.0001103969,0.00002740631,0.00002331449,0.00001581127,0.00004351186,0.00003860336,0.000193357],"category_scores_gemma":[0.000002752814,0.00006467231,0.00002027846,0.00004632977,0.00001390966,0.00005702197,0.000009116496,0.00006704928,4.910998e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005550223,"about_ca_system_score_gemma":5.2882e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006426858,"about_ca_topic_score_gemma":0.000003496832,"domain_scores_codex":[0.9996194,0.000005406873,0.000112952,0.00007591268,0.0000532833,0.0001330142],"domain_scores_gemma":[0.9998372,0.00001024934,0.00000821645,0.00009170442,0.00001589407,0.00003673025],"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":[0.000001212973,0.000001511946,0.0001141645,0.000009559931,0.00001188685,9.394186e-7,0.00006408409,0.9939507,0.0007426842,0.0012873,0.00001332813,0.003802646],"study_design_scores_gemma":[0.00007598579,0.000007464913,0.00001935156,0.000004830933,0.000008048813,0.000006916743,0.00002680527,0.998753,0.0009074425,0.0001105468,0.00000616491,0.00007346839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2567802,0.002041216,0.7405057,0.000007522103,0.00009436633,0.0000407017,5.181413e-7,0.00005012286,0.0004796443],"genre_scores_gemma":[0.9972581,0.00006117445,0.002553353,0.00001961048,0.00004394761,5.967995e-7,1.830033e-7,0.00001215659,0.00005089941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7404779,"threshold_uncertainty_score":0.2637261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02871722461457445,"score_gpt":0.2230525154070005,"score_spread":0.1943352907924261,"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."}}