{"id":"W2061245513","doi":"10.5539/cis.v2n4p94","title":"Applying Knowledge Management System Architecture in Software Maintenance Environment","year":2009,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Tacit knowledge; Knowledge management; Process (computing); Software maintenance; Software; Software engineering; Software system; 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":[0.0004573984,0.0001001648,0.0001081104,0.0003255718,0.0001677475,0.000329352,0.0007494034,0.00002293316,4.897582e-7],"category_scores_gemma":[0.000006729933,0.00007997819,0.00001767786,0.0004805019,0.00009804585,0.00295963,0.0003399157,0.00007348275,0.00003968455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007861876,"about_ca_system_score_gemma":0.00002412908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001520928,"about_ca_topic_score_gemma":3.262835e-7,"domain_scores_codex":[0.999006,0.00001408101,0.000240526,0.00021731,0.0002529152,0.0002691601],"domain_scores_gemma":[0.9995124,0.00002342328,0.00006465721,0.0003051542,0.00002858718,0.00006577009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001398402,0.00001049042,0.000252564,0.00003742497,8.702899e-7,0.00000346617,0.001500704,0.001115927,0.000006321166,0.1204033,0.00008448747,0.8765831],"study_design_scores_gemma":[0.001031076,0.0001855432,0.2776876,0.0003421966,0.000003557681,0.0001577877,0.0006626109,0.6558436,0.00022864,0.003008505,0.06032167,0.0005272946],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003028474,0.00007459165,0.988977,0.0001997863,0.0002104595,0.0002808939,3.062976e-7,0.0001263964,0.007102048],"genre_scores_gemma":[0.7492589,0.00004140474,0.2499176,0.0007261158,0.00001578286,0.00002421865,6.685364e-7,9.499484e-7,0.00001430322],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8760558,"threshold_uncertainty_score":0.3261416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008167646833245936,"score_gpt":0.2134017777548676,"score_spread":0.2052341309216217,"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."}}