{"id":"W6998514008","doi":"","title":"ALLFlight - Helicopter Flight Trials under DVE conditions with an AI-130 mmW radar system
\\n","year":2011,"lang":"en","type":"other","venue":"elib (German Aerospace Center)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Radar; Scope (computer science); Sensor fusion; Workload; Radar display; Data processing; Radar configurations and types","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002802222,0.0004150078,0.0002798868,0.0002474237,0.0005128092,0.0003346619,0.0003405654,0.0003230165,0.006234271],"category_scores_gemma":[0.0003447279,0.00009050615,0.0001845247,0.0001738937,0.0002381143,0.0003570605,0.0004986081,0.0004796672,0.001077483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002619724,"about_ca_system_score_gemma":0.0002872359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005117258,"about_ca_topic_score_gemma":0.01210707,"domain_scores_codex":[0.9998245,0.00002577649,0.000009042773,0.00003667451,0.00006374365,0.00004026371],"domain_scores_gemma":[0.9997092,0.00003372491,0.00001198088,0.00005274128,0.0001204236,0.00007192028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0126305,0.004409244,0.03244393,0.000572926,0.0002426118,0.001217454,0.001800288,0.04288701,0.6858588,0.00167071,0.03281972,0.1834469],"study_design_scores_gemma":[0.001414109,0.03927426,0.3069556,0.000119608,0.0001300091,0.0007299143,0.003733693,0.1255748,0.4261273,0.00167235,0.09398496,0.0002834563],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9780759,0.00006770217,0.004478884,0.00008941197,0.00009826776,0.0003197172,0.003631988,0.0005013886,0.01273671],"genre_scores_gemma":[0.9858619,0.00005266701,0.003913115,0.00004920654,0.00001333785,0.0001413161,0.00430626,0.000063967,0.005598248],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.006234271,"threshold_uncertainty_score":0.02085567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0318138285128664,"score_gpt":0.3074051605379797,"score_spread":0.2755913320251133,"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."}}