{"id":"W2258772536","doi":"","title":"비행시험 데이터를 활용한 스마트 무인기 엔진의 비선형 특성 분석","year":2011,"lang":"ko","type":"article","venue":"한국항공우주학회 학술발표회 논문집","topic":"Engineering Applied Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008183204,0.0009442932,0.0008407225,0.0005721757,0.0002346929,0.0001788578,0.001329522,0.0007515795,0.003802172],"category_scores_gemma":[0.0001745355,0.001028197,0.0003445951,0.00102475,0.0002307973,0.0003161174,0.0004382665,0.001957936,0.009172291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004113174,"about_ca_system_score_gemma":0.0001459318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005110012,"about_ca_topic_score_gemma":0.00005490279,"domain_scores_codex":[0.9948837,0.00009217842,0.0008551343,0.0009862088,0.001019179,0.002163563],"domain_scores_gemma":[0.996927,0.0002035414,0.0001026838,0.001771403,0.0001785056,0.0008168866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001069543,0.003834708,0.02385118,0.01426808,0.007549194,0.005586994,0.0447781,0.1337708,0.231131,0.1500501,0.2418272,0.142283],"study_design_scores_gemma":[0.009116313,0.00173078,0.1219226,0.002454639,0.0009769357,0.0005488127,0.002236988,0.2147886,0.2028981,0.004899275,0.4273148,0.01111212],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5005606,0.0105619,0.02262588,0.00075002,0.008302096,0.002818943,0.0003094162,0.005212433,0.4488586],"genre_scores_gemma":[0.9816234,0.0007667895,0.007324257,0.00008590637,0.001138307,0.0001557566,0.0000372964,0.0004828783,0.008385383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4810628,"threshold_uncertainty_score":0.9992169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03249602184157351,"score_gpt":0.2273402812870073,"score_spread":0.1948442594454338,"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."}}