{"id":"W6991673862","doi":"","title":"An IMM-JVC algorithm for multi-target tracking with asynchronous sensors /","year":2000,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asynchronous communication; Tracking (education); Noise (video); Tracking system; Order (exchange); Automation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001110856,0.0005326137,0.0008051608,0.0009874278,0.000649346,0.001168559,0.001502196,0.001137181,0.005438684],"category_scores_gemma":[0.002437638,0.0003759922,0.000496492,0.0009589201,0.0005093303,0.001217216,0.001063011,0.001329381,0.002081593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008910639,"about_ca_system_score_gemma":0.002306797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008634899,"about_ca_topic_score_gemma":0.01020689,"domain_scores_codex":[0.9995362,0.00007761946,0.00002455559,0.00009991881,0.0002126476,0.00004911569],"domain_scores_gemma":[0.9993384,0.000179011,0.00003523266,0.00008840636,0.000322436,0.00003639036],"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":[0.0002750085,0.00007590264,0.0006731945,0.0001103778,0.00005843666,0.00006443789,0.000062402,0.210324,0.009024526,0.01354373,0.008459792,0.7573282],"study_design_scores_gemma":[0.00002333326,0.00003609886,0.0002037454,0.00001173064,0.000008220875,0.00004650324,0.000009214849,0.9898191,0.003361102,0.001964125,0.004505444,0.0000114339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003802676,0.0004257929,0.9917958,0.000150242,0.000198145,0.00004108423,0.00006175331,0.0009750375,0.002549537],"genre_scores_gemma":[0.1123541,0.0003080704,0.8771062,0.0001739534,0.0001227229,0.0001549025,0.0003522347,0.0001594532,0.009268271],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008634899,"threshold_uncertainty_score":0.0181942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01953638926160748,"score_gpt":0.2611050739636885,"score_spread":0.2415686847020811,"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."}}