{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001488463,0.0001653345,0.00006810194,0.0002439214,0.000607092,0.0008209219,0.0001669129,0.0002151407,0.01648629],"category_scores_gemma":[0.0002083595,0.00006731777,0.0001281935,0.0004022409,0.000288915,0.0004773833,0.0004431113,0.0002097851,0.002744141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007865465,"about_ca_system_score_gemma":0.000842613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008486427,"about_ca_topic_score_gemma":0.01774541,"domain_scores_codex":[0.9998707,0.00002018701,0.000006951916,0.00003452713,0.00003546091,0.00003220708],"domain_scores_gemma":[0.9998894,0.000009856259,0.00001357345,0.00001263105,0.000054123,0.00002036614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001550813,0.000220411,0.0915812,0.0004944085,0.00007347739,0.001345019,0.008946856,0.003809794,0.05292811,0.145966,0.05061559,0.6438641],"study_design_scores_gemma":[0.00001708543,0.0001710575,0.1204391,0.00008098128,0.00004447355,0.0009584979,0.009765027,0.002207767,0.01569376,0.008499072,0.8420851,0.00003809877],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4410731,0.0006512218,0.01873988,0.004241204,0.0002179322,0.0001571875,0.000435507,0.0002094423,0.5342744],"genre_scores_gemma":[0.8515829,0.0005913016,0.006285819,0.0003469079,0.00001573573,0.00004630081,0.0004125263,0.00002847373,0.1406899],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01648629,"threshold_uncertainty_score":0.05515212,"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."}}