{"id":"W2796108275","doi":"10.11159/icte18.114","title":"Research on Calculation Method Based on Information Entropy aboutTraffic Signs in China","year":2018,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Civil, Structural, and Environmental Engineering","topic":"Safety Warnings and Signage","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China","keywords":"China; Entropy (arrow of time); Computer science; Data mining; Data science; Geography; Physics; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001665696,0.0004329481,0.0004320088,0.00454865,0.0005998002,0.001692979,0.0006343132,0.0003647331,0.002654392],"category_scores_gemma":[0.00677248,0.0002555287,0.0006333098,0.003009926,0.0007519413,0.003218856,0.0007152819,0.000360298,0.0001424922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001981016,"about_ca_system_score_gemma":0.001740634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01468394,"about_ca_topic_score_gemma":0.009505401,"domain_scores_codex":[0.9988643,0.0002779718,0.0001207556,0.0002181953,0.0004260721,0.00009280173],"domain_scores_gemma":[0.998053,0.0009141364,0.0002135343,0.0001013759,0.0006355073,0.00008252051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003336825,0.0002837046,0.3047352,0.001008869,0.0003633877,0.000477237,0.005429154,0.06263459,0.006895407,0.07143032,0.004566859,0.5418416],"study_design_scores_gemma":[0.00005522943,0.0002754545,0.3223649,0.0002200313,0.0003689489,0.0003121809,0.002905871,0.6191754,0.006041017,0.04255223,0.005538698,0.0001900783],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8358615,0.001205527,0.1451567,0.0006604188,0.00008811901,0.000172686,0.000381496,0.0001853541,0.01628823],"genre_scores_gemma":[0.9849803,0.0005692161,0.0125935,0.00002000857,0.00003426813,0.00006866361,0.0001998676,0.00001252871,0.001521509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01468394,"threshold_uncertainty_score":0.02919692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241947557641926,"score_gpt":0.2840095627886732,"score_spread":0.2715900872122539,"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."}}