{"id":"W2159835956","doi":"","title":"고속축중계 자료를 이용한 차량하중 다차로재하계수 결정","year":2011,"lang":"ko","type":"article","venue":"한국도로학회논문집","topic":"Transport Systems and Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Truck; Bridge (graph theory); Eurocode; Weigh in motion; Code (set theory); Computer science; Structural engineering; Transport engineering; Engineering; Automotive engineering","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":[0.0001871504,0.0004521366,0.0005741,0.0002413922,0.0001075288,0.00002818738,0.0005355297,0.0006748647,0.002918477],"category_scores_gemma":[0.00001358335,0.0004724503,0.0002256998,0.000360017,0.0001227947,0.000165398,0.00006270853,0.0005863093,0.003247647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000815673,"about_ca_system_score_gemma":0.00004042464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007464636,"about_ca_topic_score_gemma":0.0002909652,"domain_scores_codex":[0.9977887,0.00002568087,0.0006277772,0.0004919571,0.0002240886,0.0008417846],"domain_scores_gemma":[0.9986979,0.000024634,0.00009830762,0.0009253882,0.00005315202,0.0002006205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002504044,0.001664333,0.3323019,0.004878992,0.003266679,0.004579805,0.02703932,0.0004647246,0.02482463,0.394875,0.05300619,0.152848],"study_design_scores_gemma":[0.002867257,0.0006982628,0.2591468,0.0007998154,0.0004957131,0.0003478038,0.001206418,0.001516453,0.02125765,0.004917085,0.7038556,0.002891084],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7339997,0.006767849,0.008217414,0.0003251483,0.007253081,0.0008649575,0.0001669406,0.003262121,0.2391428],"genre_scores_gemma":[0.9946992,0.0002492734,0.001415526,0.00005768785,0.0003530548,0.00004140809,0.00001677945,0.0001370556,0.003030034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6508495,"threshold_uncertainty_score":0.9997727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01773034016451688,"score_gpt":0.1686471988822311,"score_spread":0.1509168587177142,"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."}}