{"id":"W2493131808","doi":"","title":"선로 노반분니가 궤도틀림에 미치는 영향","year":2015,"lang":"ko","type":"article","venue":"한국철도학회 학술발표대회논문집","topic":"Engineering Applied Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Quarter (Canadian coin); Geology; Engineering; Mechanical engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002580982,0.0001687702,0.0001705537,0.0005841909,0.0004756056,0.0008993732,0.0002377384,0.0002046298,0.00451804],"category_scores_gemma":[0.001042455,0.0001154955,0.0002245411,0.0007507849,0.0002718092,0.0005312579,0.0002621486,0.0001937776,0.001553823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003972258,"about_ca_system_score_gemma":0.0004401082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003116826,"about_ca_topic_score_gemma":0.003326754,"domain_scores_codex":[0.9996765,0.00001802233,0.00002254509,0.00007634072,0.0001581124,0.00004858197],"domain_scores_gemma":[0.9992623,0.0001152858,0.000208464,0.00005564925,0.0003228978,0.00003543244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008934901,0.0001923017,0.4063925,0.0007383596,0.0001242242,0.000997345,0.00309457,0.01012621,0.1244278,0.005811607,0.004127896,0.4430737],"study_design_scores_gemma":[0.00001258641,0.0009869221,0.8561937,0.00009989842,0.0001148989,0.001184153,0.004655965,0.01136748,0.07070364,0.002134144,0.05247593,0.00007075135],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9649363,0.0006634193,0.01248792,0.0001610478,0.00006654647,0.00004832921,0.0005245544,0.0001717735,0.02094011],"genre_scores_gemma":[0.9835466,0.0004277484,0.004203119,0.00003231459,0.00001646151,0.00002071914,0.0004690184,0.00002461006,0.01125953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00451804,"threshold_uncertainty_score":0.01511431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03349696499281916,"score_gpt":0.2652537557052969,"score_spread":0.2317567907124778,"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."}}