{"id":"W4406195419","doi":"10.1016/j.trpro.2024.12.023","title":"Reconstructing the Transport Network of Ancient China and its Relationship to Social Networks","year":2025,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Chinese history and philosophy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Honjo International Scholarship Foundation; Academia Sinica; UK Research and Innovation","keywords":"China; Computer science; Transport engineering; Business; Geography; Engineering; Archaeology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002579472,0.00007476898,0.0001301822,0.00009721916,0.001725477,0.00001868859,0.0001904678,0.0000996931,0.00002524955],"category_scores_gemma":[0.0002389867,0.00006441781,0.00004822111,0.001573807,0.0003241211,0.0001304143,0.000004301524,0.0003795351,0.000002358633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004974827,"about_ca_system_score_gemma":0.0003409909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002876736,"about_ca_topic_score_gemma":0.005134776,"domain_scores_codex":[0.9985868,0.0002022859,0.0002819571,0.0002056538,0.0004404333,0.0002828269],"domain_scores_gemma":[0.999126,0.0003334387,0.00005814712,0.0000767063,0.0003153663,0.00009038253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00008914769,0.0000246576,0.159072,0.00008886915,0.00001516559,0.000001471023,0.0527326,0.001620798,0.00002726714,0.7836365,0.001364409,0.001327157],"study_design_scores_gemma":[0.0001997941,0.00002640958,0.9439173,0.00007527132,0.00001787689,9.543213e-8,0.001184641,0.0002120643,0.000009392168,0.04647816,0.007789785,0.00008915416],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768716,0.0005714922,0.0006199615,0.006378176,0.0002500537,0.0007996257,0.00001805267,0.00005568054,0.01443541],"genre_scores_gemma":[0.9989944,0.00002517223,0.0001083302,0.0001329344,0.0003075035,0.00006304238,0.00001134744,0.000007922972,0.000349418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7848454,"threshold_uncertainty_score":0.9995741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08079180557118278,"score_gpt":0.3880026740622307,"score_spread":0.307210868491048,"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."}}