{"id":"W2140460222","doi":"","title":"Clustering-based control of discrimination power in target tracking applications","year":2006,"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":"Defence Research and Development Canada","funders":"","keywords":"Cluster analysis; Computer science; Tracking (education); Inner loop; Cascade; Scheduling (production processes); Artificial intelligence; Control theory (sociology); Control (management); Real-time computing; Engineering; Controller (irrigation)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002091277,0.00008484064,0.0001274477,0.0001328386,0.00004594291,0.00005286436,0.0003769792,0.00005138018,0.00003740241],"category_scores_gemma":[0.000010725,0.000077301,0.00004100539,0.0003231442,0.00002922648,0.0002327628,0.00002938989,0.00007957383,0.000008428014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002016954,"about_ca_system_score_gemma":0.00002113786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001147978,"about_ca_topic_score_gemma":0.0001594045,"domain_scores_codex":[0.9990666,0.00004011953,0.0003101343,0.0002370806,0.0001760563,0.0001700035],"domain_scores_gemma":[0.9993115,0.0001305735,0.00009348318,0.0003699096,0.00006853633,0.0000259665],"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":[0.00003601884,0.001000202,0.0360649,0.00007119241,0.00000967041,0.00001240463,0.0002729645,0.6340954,0.006965288,0.2872078,0.002774465,0.03148976],"study_design_scores_gemma":[0.0009003928,0.00003432547,0.03906974,0.00002979637,0.000003226377,0.000002231006,0.00002080827,0.9491401,0.002788277,0.003544785,0.004287272,0.0001790336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001443535,0.0000611645,0.9926825,0.0004183883,0.00009565214,0.0001884462,0.000008625711,0.0001068907,0.004994755],"genre_scores_gemma":[0.9411975,7.936776e-7,0.05851923,0.0001484753,0.0000286237,0.00002874123,0.00001988562,0.00000564687,0.00005114997],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9397539,"threshold_uncertainty_score":0.3152243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008860670574065758,"score_gpt":0.2298745616472504,"score_spread":0.2210138910731846,"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."}}