{"id":"W2082293213","doi":"10.1061/9780784413159.186","title":"Analysis of Model of Community Sports Logistics Distribution Center Location under Electronic Commerce","year":2013,"lang":"en","type":"article","venue":"","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Distribution (mathematics); Business; Distribution center; Transport engineering; Logistics center; Sport management; Marketing; Computer science; Public relations; Engineering; Political science","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":[0.001206536,0.0008661106,0.0008478198,0.001897615,0.00124072,0.00367661,0.002544269,0.001765812,0.01116772],"category_scores_gemma":[0.002603502,0.0007100005,0.001636034,0.001907637,0.001031236,0.003856802,0.001328618,0.001053462,0.001479143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004101172,"about_ca_system_score_gemma":0.002531149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06847449,"about_ca_topic_score_gemma":0.02255802,"domain_scores_codex":[0.998747,0.0002811782,0.00004454378,0.0003422005,0.0002883869,0.0002966725],"domain_scores_gemma":[0.9988326,0.0003621865,0.0001637628,0.00004196642,0.0005143675,0.00008507294],"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":[0.00009175386,0.00005706158,0.007586722,0.00009090309,0.00004220864,0.0005287298,0.0002543934,0.9423886,0.0008072287,0.03337788,0.002283014,0.01249151],"study_design_scores_gemma":[0.00001075831,0.00002605019,0.0009686172,0.00001240944,0.0000237002,0.00009435911,0.0001222125,0.9938075,0.0001364167,0.003740804,0.001040453,0.00001669588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2323385,0.001014283,0.6944619,0.002141935,0.0002166861,0.0003001221,0.001028524,0.001096554,0.06740139],"genre_scores_gemma":[0.9546604,0.0006507018,0.01248489,0.00007818834,0.00004562678,0.0002069957,0.0004452956,0.00009499693,0.03133292],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06847449,"threshold_uncertainty_score":0.1361518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0369504986763602,"score_gpt":0.2570666038210377,"score_spread":0.2201161051446775,"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."}}