{"id":"W2062024778","doi":"10.1115/dscc2014-5866","title":"A Multi-Target Tracking Formulation of SVSF With the Joint Probabilistic Data Association Technique","year":2014,"lang":"en","type":"article","venue":"","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Clutter; Probabilistic logic; Kalman filter; Computer science; Tracking (education); Data association; Joint (building); Simple (philosophy); Filter (signal processing); Association (psychology); Algorithm; Control theory (sociology); Artificial intelligence; Computer vision; Engineering; Radar; Telecommunications","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":[0.001490025,0.0005241193,0.0008486192,0.0005716807,0.0003350686,0.000692777,0.0009176754,0.00109331,0.0008338046],"category_scores_gemma":[0.002484851,0.0003622351,0.0007530423,0.001057683,0.000779281,0.001595778,0.0008155991,0.001524745,0.000291826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003342926,"about_ca_system_score_gemma":0.0008856729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00235206,"about_ca_topic_score_gemma":0.002060412,"domain_scores_codex":[0.9993569,0.0001614601,0.00004405146,0.000162718,0.0002327455,0.0000420652],"domain_scores_gemma":[0.9988604,0.0005657627,0.0001274979,0.0001559612,0.0002601244,0.00003025006],"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":[0.00007477387,0.00003862583,0.001106455,0.0002105052,0.0001133813,0.0001666552,0.0001487896,0.7252934,0.01317783,0.08382455,0.001396486,0.1744485],"study_design_scores_gemma":[0.000007083624,0.00005261796,0.0001674013,0.00001042688,0.00001322169,0.0001072988,0.000008660823,0.9828213,0.001406816,0.01327167,0.002121034,0.00001237603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009920656,0.00007615236,0.9986613,0.00003250041,0.00001526825,0.00000398243,0.00000668528,0.00002841351,0.0001836577],"genre_scores_gemma":[0.2687952,0.0007558575,0.7272517,0.0001181232,0.0002264592,0.00009009489,0.0001486567,0.00005488525,0.002558961],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00235206,"threshold_uncertainty_score":0.007880092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04138412234272949,"score_gpt":0.254945537855509,"score_spread":0.2135614155127795,"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."}}