{"id":"W2066086309","doi":"10.1109/acssc.2001.987725","title":"Bearing-only tracking from a stationary platform","year":2001,"lang":"en","type":"article","venue":"","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Kalman filter; Tracking (education); Computer science; Missile; Bearing (navigation); Cover (algebra); Simple (philosophy); Filter (signal processing); Computer vision; Artificial intelligence; Control theory (sociology); Engineering; Aerospace engineering","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":[0.0001202751,0.0001114147,0.0001068913,0.00006486787,0.0001631115,0.0002412393,0.0006376109,0.00006269847,0.0004119225],"category_scores_gemma":[0.00002297754,0.0000985088,0.00004450742,0.0002710739,0.00002027947,0.0008847261,0.0001830736,0.0001506441,0.0002721998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001968365,"about_ca_system_score_gemma":0.00003761572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002600411,"about_ca_topic_score_gemma":0.00006092394,"domain_scores_codex":[0.9988842,0.00001586994,0.0002106797,0.0003561291,0.0002723573,0.0002607804],"domain_scores_gemma":[0.9990945,0.0002071878,0.00005234513,0.0004966453,0.00005185286,0.00009739998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002380477,0.0001432568,0.0294153,0.000003385202,0.00003320014,0.0002188815,0.001219144,0.001731228,0.000378148,0.1220911,0.02595433,0.8187882],"study_design_scores_gemma":[0.001359878,0.0001321258,0.2013904,0.00008398526,0.00001510194,0.0002928866,0.0003014488,0.3985157,0.000808272,0.0617495,0.3343382,0.001012443],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1373581,0.0001111387,0.8402951,0.000503457,0.000567985,0.00006532747,0.000008839783,0.0005586825,0.02053142],"genre_scores_gemma":[0.8522078,0.00005738849,0.1453799,0.0009216302,0.0002291226,0.000003096219,0.00005534141,0.00001032707,0.001135349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8177757,"threshold_uncertainty_score":0.4510263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0312191653599771,"score_gpt":0.2522342347292862,"score_spread":0.2210150693693091,"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."}}