{"id":"W2997829244","doi":"10.2514/6.2020-1452","title":"Open Mission Systems Design Considerations for Optimal Fusion Performance","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; Flexibility (engineering); Risk analysis (engineering); Architecture; Systems engineering; Key (lock); Open architecture; Sensor fusion; Interface (matter); Reliability engineering; Distributed computing; Embedded system; Engineering; Computer security; Operating system; Artificial intelligence","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":[0.004291465,0.0007778121,0.0005319232,0.0006545257,0.001611794,0.003013614,0.001080815,0.001653231,0.004658828],"category_scores_gemma":[0.01090871,0.000530549,0.0003688162,0.0003812152,0.00145235,0.005676695,0.002692965,0.00208157,0.001506933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001485997,"about_ca_system_score_gemma":0.001861815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001135508,"about_ca_topic_score_gemma":0.001777287,"domain_scores_codex":[0.9966426,0.0007769587,0.0001675556,0.0002849809,0.001814442,0.0003135077],"domain_scores_gemma":[0.9943264,0.002026175,0.0005541185,0.0005137085,0.002381433,0.0001980753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004958924,0.0002072051,0.003255427,0.0005609797,0.00009492425,0.0003377101,0.001445458,0.2836874,0.1154377,0.4265124,0.008546964,0.159418],"study_design_scores_gemma":[0.000162757,0.0009233949,0.002162106,0.0002280622,0.0001381136,0.0006820095,0.001088098,0.4464887,0.07084723,0.3721126,0.1050148,0.0001522495],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04130866,0.001073196,0.9090352,0.003771802,0.0002977622,0.000163137,0.00008743813,0.0006976051,0.04356509],"genre_scores_gemma":[0.7951804,0.0009844908,0.1921627,0.0007908174,0.0003684152,0.0003292754,0.0001474179,0.0003161948,0.009720219],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004658828,"threshold_uncertainty_score":0.02269566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07715716131059992,"score_gpt":0.2805293339557679,"score_spread":0.203372172645168,"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."}}