{"id":"W2354977828","doi":"","title":"Exploitation of Retail Enterprise Sales Forecasting Decision Support System Based on C/S","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data warehouse; Computer science; Sales forecasting; Sales management; Modular programming; Decision support system; Profit (economics); Retail sales; Function (biology); Operations research; Data mining; Database; Business; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001776685,0.0001495249,0.0001681744,0.0002767272,0.0001402728,0.0001305025,0.0003667171,0.00005642909,0.00005277364],"category_scores_gemma":[0.000004151107,0.000139494,0.00007490472,0.000501884,0.00002774029,0.000431929,0.00005952503,0.00007166742,0.0002907014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000308708,"about_ca_system_score_gemma":0.00001648126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001398193,"about_ca_topic_score_gemma":0.000003838576,"domain_scores_codex":[0.9989305,0.000004708192,0.0003868218,0.0003100308,0.0001993034,0.0001686455],"domain_scores_gemma":[0.9990937,0.00006982522,0.0002552843,0.0003409953,0.0002281305,0.00001206128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006849392,0.0003231603,0.001458858,0.0003025744,0.000008640401,0.000002902557,0.00004104518,0.00153708,0.003525497,0.01387475,0.007999294,0.9708577],"study_design_scores_gemma":[0.001029518,0.00008274014,0.01253041,0.0009967829,0.0001130966,0.00001462069,0.0001943362,0.3339287,0.004946298,0.002743665,0.6427051,0.000714797],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01779934,0.0000202862,0.9771248,0.0002895643,0.00004671734,0.0005022361,0.00001290713,0.0001576867,0.004046524],"genre_scores_gemma":[0.9446098,0.000001849741,0.05375198,0.0008584838,0.0003963066,0.00007793393,0.0002561235,0.00001536241,0.00003211459],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9701429,"threshold_uncertainty_score":0.5688402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05285316007782907,"score_gpt":0.2688000893588225,"score_spread":0.2159469292809934,"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."}}