{"id":"W4406968668","doi":"10.1038/s41598-025-88504-4","title":"Equilibrium study of logistics demand and logistics resource allocation in Guangdong Province","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Business; Resource allocation; Resource (disambiguation); City logistics; Operations research; Computer science; Operations management; Transport engineering; Economics; Engineering; Computer network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004778892,0.0002094601,0.0002433746,0.001338183,0.0004613967,0.0006403152,0.0004621027,0.0002524013,0.001950026],"category_scores_gemma":[0.001582945,0.0002712317,0.0005529778,0.001679974,0.0003154306,0.0005718068,0.0005881764,0.0002465895,0.0001271587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002649216,"about_ca_system_score_gemma":0.00157734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1048007,"about_ca_topic_score_gemma":0.07198781,"domain_scores_codex":[0.9997285,0.00003737807,0.0000265294,0.00006918288,0.00006771633,0.00007065917],"domain_scores_gemma":[0.999505,0.0001471054,0.0001072873,0.00003234962,0.0001468643,0.00006132957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001393003,0.00007654385,0.9107519,0.00009208286,0.0001435549,0.0007005892,0.00155458,0.05984265,0.003613292,0.006591499,0.001006451,0.01548748],"study_design_scores_gemma":[0.00001521262,0.00006569154,0.8349804,0.00001413589,0.00005080529,0.0001199011,0.002256607,0.1574974,0.000878754,0.002344395,0.001743178,0.00003348888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977006,0.0000270969,0.0009910925,0.00008042439,0.000001606183,0.000005987185,0.0002273283,0.000006272098,0.0009595199],"genre_scores_gemma":[0.9986956,0.00003284763,0.0003127455,0.000005760137,0.00000166119,0.000008728401,0.0002831625,0.000002526103,0.0006570358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1048007,"threshold_uncertainty_score":0.2083815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0196914710113092,"score_gpt":0.2252388389901613,"score_spread":0.2055473679788521,"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."}}