{"id":"W1992749286","doi":"10.3182/20080706-5-kr-1001.01457","title":"Observer Forms for Perspective Systems","year":2008,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Observability; Observer (physics); Alpha beta filter; Constructive; Control theory (sociology); Separation principle; State observer; Nonlinear system; Transformation (genetics); Mathematics; Computer science; Perspective (graphical); Artificial intelligence; Control (management); Kalman filter; Applied 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":[0.0001229007,0.0001506419,0.0001876645,0.0000902273,0.0003396765,0.0001711651,0.000565716,0.00004433501,0.000003221436],"category_scores_gemma":[0.0001394813,0.0001280764,0.0000901286,0.0002803606,0.00006056657,0.001772517,0.000145782,0.00009558053,0.00003916558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001099354,"about_ca_system_score_gemma":0.00004678839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002227216,"about_ca_topic_score_gemma":3.979915e-7,"domain_scores_codex":[0.9987867,0.000002202879,0.0001880918,0.0004329611,0.0002329581,0.0003570109],"domain_scores_gemma":[0.9990941,0.00002994471,0.0001060679,0.000143663,0.0005227528,0.0001035048],"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":[0.00003491916,0.0001072268,0.01173553,0.0001560606,0.00005992847,0.00001239068,0.01136879,0.00004631914,0.003886021,0.9109513,0.02930393,0.03233758],"study_design_scores_gemma":[0.002038533,0.0004804521,0.009497178,0.0001831912,0.0000160979,0.0004118532,0.006220256,0.7502232,0.006115983,0.0408285,0.1828422,0.001142575],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05768987,0.001416569,0.9178986,0.002133298,0.0008712049,0.000952395,0.000006304202,0.0009379688,0.01809378],"genre_scores_gemma":[0.8858453,0.00004943783,0.1090361,0.0002774535,0.0002113503,0.0001039022,8.32195e-7,0.00002156919,0.004454057],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8701228,"threshold_uncertainty_score":0.5222805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03070975774168791,"score_gpt":0.2764984508479585,"score_spread":0.2457886931062706,"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."}}