{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008004446,0.0003922781,0.0005484408,0.0002170457,0.0004358889,0.0009268629,0.0008232967,0.001209226,0.001418564],"category_scores_gemma":[0.002489869,0.0002470717,0.0003203505,0.0002600595,0.00133935,0.001381026,0.0008193178,0.001009037,0.0002493316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004434344,"about_ca_system_score_gemma":0.0007009789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002459619,"about_ca_topic_score_gemma":0.001079815,"domain_scores_codex":[0.9997237,0.0000699364,0.00001014827,0.00006727887,0.00009502618,0.00003395894],"domain_scores_gemma":[0.9988946,0.0006097778,0.0001496274,0.0001661068,0.0001276345,0.00005218419],"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":[0.0000864323,0.0000591072,0.0006379397,0.0001518664,0.00002106168,0.0001194052,0.0002503075,0.7864448,0.009553229,0.1035371,0.001937869,0.09720089],"study_design_scores_gemma":[0.00002322909,0.000102003,0.0002560971,0.00001842206,0.000004541306,0.00003849669,0.00008668566,0.9367648,0.00148388,0.05880305,0.002403505,0.00001525981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06523079,0.002631044,0.9207364,0.00406257,0.0001136786,0.00002237931,0.0000542388,0.000483575,0.006665242],"genre_scores_gemma":[0.9732361,0.001270242,0.02141543,0.0001944115,0.0001342826,0.00007154523,0.00002554466,0.00004108665,0.003611375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002459619,"threshold_uncertainty_score":0.00489068,"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."}}