{"id":"W2083232350","doi":"10.1177/1541931213571041","title":"Blue Force Tracking","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Global Positioning System; Adversary; Workload; Computer science; Tracking (education); Scope (computer science); Computer security; Human–computer interaction; Simulation; Telecommunications; Psychology; Operating system","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":[0.0009914006,0.0008719611,0.0006035992,0.002493138,0.0008646124,0.001048404,0.0009022554,0.0008699168,0.08352837],"category_scores_gemma":[0.004711088,0.0003739972,0.0003371074,0.001650844,0.000263337,0.000861178,0.001741109,0.0006865198,0.0274668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003949284,"about_ca_system_score_gemma":0.001106911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006393104,"about_ca_topic_score_gemma":0.008698732,"domain_scores_codex":[0.9987882,0.0001886451,0.00008285268,0.000394319,0.0004167558,0.0001292814],"domain_scores_gemma":[0.9968877,0.0005044054,0.0002050105,0.0003634756,0.001842949,0.0001963798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001128717,0.000470973,0.04095461,0.0008552694,0.00006853071,0.0004501511,0.002921429,0.002925247,0.03350428,0.006962911,0.2110361,0.6987218],"study_design_scores_gemma":[0.0002669067,0.0009075819,0.1126695,0.0006270547,0.0001107924,0.00109582,0.001778514,0.02353267,0.02690364,0.005605142,0.8262616,0.000240802],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1821846,0.001306495,0.2569136,0.001611023,0.001822273,0.005471517,0.06979439,0.02179932,0.4590966],"genre_scores_gemma":[0.4488856,0.001410008,0.2033141,0.002010748,0.0003355526,0.006625015,0.03553767,0.003225634,0.2986557],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08352837,"threshold_uncertainty_score":0.2794302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02306874080055426,"score_gpt":0.2869269903702391,"score_spread":0.2638582495696848,"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."}}