{"id":"W1592639411","doi":"10.1109/ific.2000.859888","title":"Target tracking and identification issues when using real data","year":2000,"lang":"en","type":"article","venue":"","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"Chongqing Science and Technology Commission; Michael and Susan Dell Foundation","keywords":"Suite; Sensor fusion; Class (philosophy); Identification (biology); Computer science; Tracking (education); Point (geometry); Real-time computing; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004010252,0.0001005817,0.0001109868,0.00004666678,0.0002056336,0.0005322069,0.001026861,0.00005536147,0.0004058865],"category_scores_gemma":[0.00001689405,0.00009148291,0.00001325372,0.0001433179,0.00003847208,0.001590075,0.0002883388,0.00009089542,0.00005653632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008806422,"about_ca_system_score_gemma":0.00001458883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004320829,"about_ca_topic_score_gemma":0.00001593832,"domain_scores_codex":[0.9987562,0.00005687436,0.00023888,0.0005419604,0.0002042627,0.0002017893],"domain_scores_gemma":[0.9985302,0.00005143883,0.00004942493,0.001264264,0.00003447947,0.00007016008],"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":[0.00001378701,0.0001057541,0.00483353,0.00002395861,0.00002888526,0.0000303627,0.002051829,0.001577996,0.003619662,0.02009323,0.05391712,0.9137039],"study_design_scores_gemma":[0.0001442507,0.00001053622,0.0039253,0.00002228306,0.000007458111,0.00003928107,0.00003541254,0.9326137,0.0007364239,0.004674842,0.05757609,0.0002143722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1275336,0.0009950899,0.8610473,0.001549945,0.0006059205,0.0001910076,0.00004541815,0.0007406833,0.0072911],"genre_scores_gemma":[0.4812759,0.0007163464,0.5147725,0.0002569734,0.0003143402,0.000001395456,0.0001442111,0.00001540659,0.002502966],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9310358,"threshold_uncertainty_score":0.5132083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06954531857126187,"score_gpt":0.3138426510172263,"score_spread":0.2442973324459644,"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."}}