{"id":"W2320613892","doi":"10.2514/6.2012-2585","title":"Addressing the Complex Integration Issues of Net Centric, Multi-Sensor Information Fusion","year":2012,"lang":"en","type":"article","venue":"Infotech@Aerospace 2012","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Information fusion; Computer science; Sensor fusion; Net (polyhedron); Fusion; Artificial intelligence; Mathematics","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":[0.0003034811,0.0001489127,0.0001437997,0.000102547,0.0002437953,0.0001099577,0.0005593448,0.0000862392,0.00002248861],"category_scores_gemma":[0.00006466309,0.0001090486,0.000061055,0.0004972295,0.00007698707,0.002652127,0.000239599,0.0001749896,0.00007783793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005229486,"about_ca_system_score_gemma":0.00002474143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005524625,"about_ca_topic_score_gemma":0.000004287634,"domain_scores_codex":[0.9988723,0.0000490921,0.0003557767,0.000119849,0.0003235761,0.000279434],"domain_scores_gemma":[0.9987336,0.0001075718,0.0003569277,0.0004828276,0.0002416632,0.00007738058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002235718,0.0003911497,0.001437269,0.00006638687,0.00003416917,4.145815e-7,0.008029576,0.006039475,0.03623462,0.5316547,0.0278076,0.3882823],"study_design_scores_gemma":[0.0009542346,0.0001295454,0.07099856,0.0001646603,0.00002913658,0.00004041117,0.0007313692,0.33935,0.06665553,0.006611535,0.5135337,0.0008013853],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003419448,0.0002395465,0.9922492,0.002797691,0.0001375139,0.0004016034,0.00001101108,0.0002449907,0.0004989817],"genre_scores_gemma":[0.5780022,0.00006198823,0.4211923,0.0004498972,0.00008557642,0.00004395447,0.00003539668,0.000007286129,0.000121432],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5745827,"threshold_uncertainty_score":0.4446875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.105955797684228,"score_gpt":0.3611715356953256,"score_spread":0.2552157380110976,"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."}}