{"id":"W1660432886","doi":"10.1109/mwscas.1989.101929","title":"Multiple structure adaptive target tracking","year":2003,"lang":"en","type":"article","venue":"","topic":"Cognitive Science and Education Research","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Tracking (education); Computer science; Artificial intelligence; Segmentation; Filter (signal processing); Stability (learning theory); Clutter; Computer vision; Pattern recognition (psychology); Machine learning; Radar","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004665367,0.0004659505,0.000620744,0.0005016238,0.0004612353,0.0007071496,0.0009639825,0.0009593954,0.002933981],"category_scores_gemma":[0.001216301,0.0003108881,0.000547611,0.0005931624,0.0004014257,0.000816803,0.001219617,0.0008258102,0.001083765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005254428,"about_ca_system_score_gemma":0.0005875466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002307669,"about_ca_topic_score_gemma":0.003908406,"domain_scores_codex":[0.9994432,0.00005760034,0.00001682172,0.0001610184,0.0002728275,0.00004852258],"domain_scores_gemma":[0.9995155,0.0001189701,0.00006240929,0.0001290079,0.0001377214,0.00003633857],"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":[0.0001900027,0.00008053364,0.0006954829,0.00008233211,0.000102875,0.0001533541,0.0001368066,0.1068704,0.2344564,0.01416097,0.003471371,0.6395994],"study_design_scores_gemma":[0.00002725209,0.0001197705,0.001284292,0.00001132743,0.00003892938,0.0003446557,0.0000136983,0.9392049,0.04302678,0.005628211,0.01026564,0.00003454749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003159732,0.00006749177,0.9945014,0.0000271911,0.00002575291,0.00001599593,0.00001469387,0.0006243204,0.001563417],"genre_scores_gemma":[0.1764494,0.0001656546,0.8146187,0.0001663228,0.00005413297,0.00008576585,0.0001401526,0.000209154,0.008110725],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002933981,"threshold_uncertainty_score":0.009815156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1101561150630132,"score_gpt":0.3514843896943169,"score_spread":0.2413282746313037,"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."}}