{"id":"W4403304831","doi":"10.21203/rs.3.rs-4961801/v1","title":"Equilibrium Study of Logistics Demand and Logistics Resource Allocation in Guangdong Province","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Business; Resource (disambiguation); Resource allocation; Environmental economics; Humanitarian Logistics; Industrial organization; Natural resource economics; Computer science; Economics","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":[0.0009564047,0.0004053398,0.0009819088,0.001088248,0.0009993879,0.002025621,0.001194286,0.0009606068,0.006891759],"category_scores_gemma":[0.002435115,0.0006459841,0.00110672,0.001109156,0.000671045,0.001357467,0.0006958307,0.0007361349,0.0002360658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005453003,"about_ca_system_score_gemma":0.004113046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1702013,"about_ca_topic_score_gemma":0.106282,"domain_scores_codex":[0.9995645,0.0001015811,0.00001400128,0.00008506637,0.00004860674,0.0001861564],"domain_scores_gemma":[0.9989573,0.0006140042,0.00009010464,0.000028418,0.000188966,0.0001211993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001063529,0.0004555148,0.04662677,0.00027641,0.0003706588,0.002022109,0.0008978648,0.7837906,0.007414883,0.1402182,0.006614122,0.01024931],"study_design_scores_gemma":[0.0001148413,0.0001133126,0.01829298,0.00001325018,0.0001109786,0.00009106578,0.001101501,0.9606264,0.0007716703,0.01705301,0.001654939,0.00005608586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777093,0.0001992914,0.01045699,0.0007031494,0.00002019253,0.00004392354,0.0004528745,0.00003342225,0.0103809],"genre_scores_gemma":[0.992675,0.0001270241,0.0007728287,0.00002242186,0.000009685312,0.000023316,0.0001863935,0.000008172575,0.006175093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1702013,"threshold_uncertainty_score":0.3384213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1004236832455516,"score_gpt":0.3754376946769274,"score_spread":0.2750140114313758,"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."}}