{"id":"W2318402593","doi":"10.2514/6.2002-3433","title":"Enhanced Situational Awareness for UAV Operations over Hostile Terrain","year":2002,"lang":"en","type":"article","venue":"1st UAV Conference","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Terrain; Situation awareness; Computer science; Aeronautics; Human–computer interaction; Computer security; Simulation; Engineering; Aerospace engineering; Geography","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":[0.0001166715,0.000232207,0.0002353745,0.0002151063,0.0001765592,0.0003224178,0.0001787053,0.0001831564,0.001045098],"category_scores_gemma":[0.0005275312,0.0001273301,0.0001260243,0.0001898452,0.000137907,0.0005537788,0.0005409317,0.000323678,0.0001069083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001114323,"about_ca_system_score_gemma":0.0001695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000864161,"about_ca_topic_score_gemma":0.001782268,"domain_scores_codex":[0.9999138,0.00002559336,0.000002526887,0.0000100239,0.00002778384,0.00002032163],"domain_scores_gemma":[0.9998438,0.0000664736,0.00002010537,0.00002371229,0.00003253374,0.00001323298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009748738,0.0002151822,0.002661915,0.000106843,0.00008305573,0.0003399889,0.0002171836,0.6123902,0.1404374,0.008317677,0.002981367,0.2312743],"study_design_scores_gemma":[0.00001458208,0.0001612506,0.002330355,0.000006291791,0.00001790185,0.0001032375,0.00006354035,0.984722,0.009415837,0.002063554,0.001090705,0.00001086492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4532348,0.0005996446,0.5381908,0.0001803381,0.0001292786,0.00002762567,0.00007021673,0.0004129992,0.007154334],"genre_scores_gemma":[0.978203,0.00009993834,0.020794,0.00001418344,0.00001817875,0.000005939743,0.00003125007,0.00001564702,0.0008178391],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001045098,"threshold_uncertainty_score":0.00349623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02714958206431679,"score_gpt":0.2450966385706894,"score_spread":0.2179470565063727,"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."}}