{"id":"W2205442059","doi":"","title":"경기도권 철도체계의 문제점과 개선 방안","year":2006,"lang":"ko","type":"article","venue":"한국철도학회 학술발표대회논문집","topic":"Railway Systems and Energy Efficiency","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Transport engineering; Quarter (Canadian coin); Population; Geography; Computer science; Engineering; Demography","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":[0.0003803077,0.0006922691,0.0007012163,0.0002672289,0.0002828917,0.00024821,0.0005689414,0.0004754399,0.001137796],"category_scores_gemma":[0.00004310667,0.0006822515,0.0003470398,0.0007033445,0.0001142548,0.0002415008,0.0001083415,0.0004673178,0.002595232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002505423,"about_ca_system_score_gemma":0.00008523907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004180217,"about_ca_topic_score_gemma":0.0004124008,"domain_scores_codex":[0.9964501,0.00007844088,0.0009373868,0.0006958242,0.0005895046,0.001248734],"domain_scores_gemma":[0.9984371,0.00009541147,0.0001487503,0.0009548126,0.0001080596,0.0002558342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004586171,0.0007652341,0.01277132,0.001193268,0.0003678117,0.0005986315,0.001610977,0.6171322,0.01819396,0.05102462,0.2721549,0.02414121],"study_design_scores_gemma":[0.001861941,0.0002488439,0.02009909,0.0006575046,0.0001711334,0.0001401461,0.0003606545,0.1630263,0.005745193,0.001011924,0.8042411,0.0024361],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5127822,0.01115911,0.005456701,0.0004792231,0.008507971,0.000504106,0.0001169517,0.001199247,0.4597945],"genre_scores_gemma":[0.9576542,0.0001804714,0.0004582117,0.00007989446,0.002870793,0.00003758148,0.00005346393,0.000178772,0.03848662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5320862,"threshold_uncertainty_score":0.9997753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004051575636030345,"score_gpt":0.1715745801947812,"score_spread":0.1675230045587509,"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."}}