{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002656975,0.0001717469,0.0002115317,0.00003014562,0.0005313027,0.000115182,0.0002523947,0.0001291721,0.0003863421],"category_scores_gemma":[0.00004993608,0.0001284861,0.0002350755,0.00007948437,0.0001401702,0.0004266489,0.0001248355,0.0002661234,0.00001864511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004968643,"about_ca_system_score_gemma":0.000007238167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002083834,"about_ca_topic_score_gemma":0.000004190653,"domain_scores_codex":[0.9989744,0.000009666666,0.0004054939,0.0002484968,0.0001041803,0.0002577244],"domain_scores_gemma":[0.9991552,0.00008037264,0.0003879658,0.00008795827,0.0002176476,0.00007081364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00006080035,0.0002959683,0.3436497,0.0003376553,0.0006452276,9.874611e-8,0.4246977,0.00004960575,0.0633971,0.07566145,0.08748823,0.003716438],"study_design_scores_gemma":[0.000916077,0.0001123788,0.7575061,0.0002075547,0.00007427671,0.00001014743,0.2178883,0.0006516593,0.01252375,0.002267917,0.0072541,0.0005877388],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988817,0.00003697332,0.000007075716,0.0001826042,0.0003578785,0.0002101696,0.00001027499,0.00006905693,0.01030901],"genre_scores_gemma":[0.9970181,0.00000841308,0.0001506335,0.0002109926,0.0001409773,0.00001884657,0.000002017595,0.00002331245,0.002426723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4138564,"threshold_uncertainty_score":0.523951,"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."}}