{"id":"W2389784192","doi":"","title":"Design and Application of Science and Research Management Information System Based on Lotus Architecture","year":2008,"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; Architecture; Lotus; Engineering management; Knowledge management; Systems architecture; Work (physics); Software engineering; Systems engineering","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":[0.0007048884,0.0002456553,0.0002070084,0.0007910305,0.0007841285,0.001865479,0.0007408744,0.0004895868,0.002626515],"category_scores_gemma":[0.0009154306,0.0002614033,0.0003459317,0.0005828209,0.0004996184,0.001219254,0.0006613242,0.0003745313,0.0006789517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001060538,"about_ca_system_score_gemma":0.00163305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002385031,"about_ca_topic_score_gemma":0.002101845,"domain_scores_codex":[0.9994444,0.0001836626,0.00005244077,0.00008369835,0.0001731107,0.00006263817],"domain_scores_gemma":[0.9995702,0.00009542712,0.0000381243,0.00006489115,0.0001610624,0.00007019506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007238555,0.0004271976,0.01594718,0.0009219181,0.0001993394,0.001462318,0.005155525,0.0558586,0.09388048,0.4437417,0.02492684,0.3567551],"study_design_scores_gemma":[0.0002751453,0.0008628668,0.009091203,0.0002473543,0.0002724218,0.001487003,0.001030967,0.5692677,0.07074757,0.05479273,0.2917649,0.0001600931],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1360245,0.0008116622,0.7953996,0.001579515,0.0001655415,0.00097113,0.0002268606,0.005808305,0.05901286],"genre_scores_gemma":[0.6376826,0.0006504399,0.3413808,0.0003440356,0.00007829689,0.0006845181,0.0004337345,0.00014158,0.01860397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002626515,"threshold_uncertainty_score":0.008786559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01936966366631644,"score_gpt":0.2863805236257592,"score_spread":0.2670108599594428,"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."}}