{"id":"W2349587381","doi":"","title":"Development and Application of ERP System for Small and Medium-Sized Enterprise","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"ERP Systems Implementation and Impact","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Competition (biology); Order (exchange); Enterprise resource planning; Variation (astronomy); Information flow; Process management; Small and medium-sized enterprises; Industrial organization; Knowledge management; Business; Finance","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":[0.001070276,0.0001812068,0.000190789,0.0005760717,0.000481389,0.0009331271,0.000555683,0.0004962306,0.002825079],"category_scores_gemma":[0.001761087,0.0001789725,0.0002249009,0.0005382577,0.0001825919,0.001058471,0.0004991424,0.0004662481,0.001322085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003053143,"about_ca_system_score_gemma":0.001162402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001151154,"about_ca_topic_score_gemma":0.0007901565,"domain_scores_codex":[0.9994455,0.0001361957,0.0000617106,0.00009104636,0.0002103565,0.00005509974],"domain_scores_gemma":[0.9995291,0.00008613651,0.00002205318,0.00006463952,0.0002467028,0.00005143809],"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":[0.0002560377,0.0002003058,0.005788876,0.000431911,0.00003327648,0.001332555,0.0008822874,0.003721011,0.04667011,0.04233652,0.02821047,0.8701366],"study_design_scores_gemma":[0.0003563669,0.001323026,0.05055087,0.0005342853,0.0002044781,0.005715748,0.001145417,0.0998234,0.07306173,0.03530479,0.7317529,0.0002269271],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1534264,0.004001867,0.7424902,0.003071192,0.0008857535,0.001878669,0.0007639999,0.0086395,0.08484237],"genre_scores_gemma":[0.4846998,0.003377218,0.482677,0.000496807,0.0003128748,0.0006369122,0.001358861,0.0002223058,0.02621819],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002825079,"threshold_uncertainty_score":0.009450853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02286548932349919,"score_gpt":0.2460817014446978,"score_spread":0.2232162121211986,"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."}}