{"id":"W2381797141","doi":"","title":"Developing Enterprises' Electronic Settlement System by Using UML","year":2007,"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; Unified Modeling Language; Settlement (finance); Process (computing); Quality (philosophy); Business process; Information system; Set (abstract data type); Software; Software engineering; World Wide Web; Work in process; Operations management; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002755688,0.0002082142,0.0001619959,0.0001408775,0.0003985474,0.0001317971,0.001050633,0.00006445881,0.000002102403],"category_scores_gemma":[2.313372e-7,0.0002274644,0.00007603592,0.0007005975,0.00003283381,0.0002391128,0.0003417785,0.0001603778,0.00005460827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006615268,"about_ca_system_score_gemma":0.0001255737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009244778,"about_ca_topic_score_gemma":0.000001886587,"domain_scores_codex":[0.998184,0.0000189572,0.0004590088,0.0005873636,0.0002138639,0.0005367715],"domain_scores_gemma":[0.9989948,0.00006759266,0.0001791613,0.0005013626,0.0001476776,0.0001094474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001750601,0.00009387508,0.00006103237,0.00003086134,0.00003083522,0.000001593972,0.00009564428,0.0004578982,0.01722949,0.7642964,0.001605219,0.2160954],"study_design_scores_gemma":[0.0002802407,0.00002847736,0.0001231832,0.00004431226,0.00001281713,0.0001228278,0.00003182735,0.04263707,0.03105197,0.01473373,0.9104009,0.0005326101],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007121276,0.0001700837,0.9965096,0.0006111137,0.0000184344,0.0008571034,0.00001810152,0.0007367675,0.0003667372],"genre_scores_gemma":[0.1186462,0.00001078135,0.8800907,0.0007234158,0.0001085484,0.0002994025,0.00005780851,0.00002070879,0.00004238526],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9087957,"threshold_uncertainty_score":0.9275728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217275598997529,"score_gpt":0.2929169160210435,"score_spread":0.2807441600310682,"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."}}