{"id":"W2092846535","doi":"10.2514/2.4488","title":"Mode Localization in Flexible Spacecraft: A Control Challenge","year":2000,"lang":"en","type":"article","venue":"Journal of Guidance Control and Dynamics","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spacecraft; Mode (computer interface); Control theory (sociology); Aerospace engineering; Computer science; Control (management); Control engineering; Engineering; Artificial intelligence; Human–computer interaction","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":[0.0002548987,0.0001443563,0.0003833868,0.00010435,0.00003998796,0.00003534977,0.0001015296,0.0001209874,0.00007215045],"category_scores_gemma":[0.00003839639,0.00011362,0.00007611433,0.0001198846,0.00004079735,0.0002592116,0.000003802435,0.0002074224,0.000005590049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007231932,"about_ca_system_score_gemma":0.00002147744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007468354,"about_ca_topic_score_gemma":0.00009169447,"domain_scores_codex":[0.9989719,0.00004852082,0.000517209,0.0000951349,0.0001549563,0.0002123137],"domain_scores_gemma":[0.999587,0.00007573976,0.0000664004,0.00008544629,0.00008212052,0.0001033117],"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":[0.0003442036,0.00006365114,0.004522358,0.00003417353,0.00006114812,0.00004577616,0.00009593904,0.9573444,0.0005858184,0.004422673,0.0002135676,0.03226627],"study_design_scores_gemma":[0.004305916,0.0001668561,0.003531214,0.00005755272,0.00002268565,0.00003407633,0.00001820042,0.987761,0.000005455499,0.002223001,0.001745494,0.0001285011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06789792,0.009425158,0.9147614,0.002826062,0.0002969394,0.0002276051,0.00002867774,0.0000822461,0.004454017],"genre_scores_gemma":[0.9970048,0.001980703,0.0002924046,0.0003804454,0.0001592159,0.000005425487,0.000001670558,0.00001446887,0.0001608533],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9291069,"threshold_uncertainty_score":0.4633288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004217014319021495,"score_gpt":0.206012870580458,"score_spread":0.2017958562614365,"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."}}