{"id":"W2156627171","doi":"","title":"Improved MeMBer filter with modeling of spurious targets","year":2013,"lang":"en","type":"article","venue":"International Conference on Information Fusion","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":"Spurious relationship; Filter (signal processing); Cardinality (data modeling); Bernoulli's principle; Computer science; Algorithm; Bernoulli distribution; Mathematics; Data mining; Engineering; Random variable; Statistics; Machine learning; Computer vision","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":[0.002843437,0.0007287279,0.001151383,0.0006791273,0.0005697316,0.0009956971,0.00163904,0.001453219,0.001096422],"category_scores_gemma":[0.006725773,0.0005020871,0.0009309415,0.0007907972,0.0005886635,0.00224588,0.001359706,0.001354095,0.0006508416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006006257,"about_ca_system_score_gemma":0.001269505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00309593,"about_ca_topic_score_gemma":0.002675823,"domain_scores_codex":[0.9985207,0.0003801197,0.00007262646,0.0003107605,0.0005752871,0.0001405427],"domain_scores_gemma":[0.9973474,0.00119434,0.0002399556,0.0003983673,0.0007279174,0.00009207044],"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":[0.0006236735,0.0001253617,0.004423847,0.0001505618,0.0001670018,0.000177661,0.0003241095,0.5533386,0.03117123,0.0347476,0.002676692,0.3720736],"study_design_scores_gemma":[0.000008939757,0.00004266307,0.0003777731,0.000005499988,0.00001617093,0.00007038574,0.000006182263,0.9929959,0.00365336,0.001848381,0.0009603348,0.00001437354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005546534,0.00007255379,0.9938677,0.00004045666,0.00002160239,0.000006555779,0.00001642524,0.0001493323,0.000278736],"genre_scores_gemma":[0.317051,0.0003654203,0.6769474,0.0002393536,0.0001627835,0.0001096762,0.0003321573,0.0001373921,0.004654865],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00309593,"threshold_uncertainty_score":0.01503772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0245602753669001,"score_gpt":0.2441714001728119,"score_spread":0.2196111248059118,"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."}}