{"id":"W2354681196","doi":"","title":"Solution of Enterprise MIS Based on MIDAS of Easerver","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Middleware (distributed applications); Base (topology); Window (computing); Foundation (evidence); Database; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009802983,0.0004316192,0.0005075676,0.0008452729,0.001218027,0.003160516,0.001663932,0.001346557,0.004150128],"category_scores_gemma":[0.001265048,0.0002993922,0.0007249546,0.0005030286,0.0003730417,0.002976962,0.002833463,0.001288441,0.00158183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006714388,"about_ca_system_score_gemma":0.001406346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001099528,"about_ca_topic_score_gemma":0.001432615,"domain_scores_codex":[0.9989573,0.0001948639,0.00008923954,0.0002367929,0.0002979046,0.0002239083],"domain_scores_gemma":[0.9992056,0.00007773357,0.00006235907,0.0002403053,0.0002292148,0.0001847991],"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":[0.0007009961,0.0008998961,0.01021598,0.0005375444,0.00021577,0.002420747,0.002027916,0.01493918,0.05458525,0.3439783,0.02751273,0.5419657],"study_design_scores_gemma":[0.0002843303,0.000528538,0.005289642,0.0001981938,0.0002595314,0.003458288,0.002217817,0.5116017,0.05202287,0.08734269,0.3366272,0.0001692018],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05933872,0.0006241885,0.8977937,0.001517389,0.000356033,0.0004161931,0.0001305482,0.005646933,0.03417635],"genre_scores_gemma":[0.4944345,0.0004982373,0.4640652,0.0004332157,0.0002194528,0.0002435949,0.0004030531,0.0002946885,0.03940804],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004150128,"threshold_uncertainty_score":0.01388353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006196072224286917,"score_gpt":0.2398445428092553,"score_spread":0.2336484705849683,"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."}}