{"id":"W263250481","doi":"","title":"Personnel Detection at a Border Crossing—An Exercise","year":2013,"lang":"en","type":"article","venue":"","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profiling (computer programming); Sonar; Aeronautics; Modalities; Terrain; Engineering; Launched; Computer science; Computer security; Operations research; Artificial intelligence; Geography; Cartography; Electrical engineering","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":[0.001375189,0.000456518,0.0003863414,0.001399504,0.0009672503,0.000798859,0.0005201267,0.0009226138,0.00247085],"category_scores_gemma":[0.003069249,0.0002223627,0.0003365844,0.001040864,0.0002863398,0.001026834,0.0006535891,0.0006685507,0.0008865052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005493902,"about_ca_system_score_gemma":0.0003158212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0083757,"about_ca_topic_score_gemma":0.01141895,"domain_scores_codex":[0.9993424,0.000247187,0.00003211423,0.0001989428,0.0001231738,0.00005612081],"domain_scores_gemma":[0.998414,0.0008748434,0.00009142235,0.0002154348,0.0002965515,0.0001076089],"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":[0.001533214,0.003167399,0.1300621,0.0003259904,0.0002655563,0.001483951,0.003849496,0.03702911,0.0280716,0.00315366,0.02731682,0.7637411],"study_design_scores_gemma":[0.0002621817,0.002426386,0.3414642,0.0002394997,0.0002016045,0.001599699,0.009980987,0.5436116,0.05131725,0.006265287,0.04249668,0.0001345875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9402142,0.0004245877,0.04406448,0.0009647755,0.0001463547,0.000184903,0.0009599735,0.00127219,0.01176854],"genre_scores_gemma":[0.9403875,0.000178606,0.05418811,0.0001024345,0.00005918258,0.00003084739,0.001125567,0.00006935581,0.003858321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0083757,"threshold_uncertainty_score":0.0166539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195663696026604,"score_gpt":0.2456887412887583,"score_spread":0.2337321043284923,"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."}}