{"id":"W2077457026","doi":"10.1109/eit.2006.252149","title":"Functional Approach for the Architecture Design of a Payroll System","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Payroll; Computer science; Component (thermodynamics); Function (biology); Domain (mathematical analysis); Architecture; State (computer science); Systems architecture; Range (aeronautics); Distributed computing; Programming language; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004775659,0.0000731055,0.000101016,0.00003506419,0.00005406407,0.0000162325,0.0003806069,0.00003003319,5.802229e-7],"category_scores_gemma":[0.0001117684,0.00004113918,0.00004926671,0.0001487621,0.00002746242,0.00005479855,0.00005649908,0.00005366097,5.808117e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000181247,"about_ca_system_score_gemma":0.00001988782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000631492,"about_ca_topic_score_gemma":1.694081e-7,"domain_scores_codex":[0.9994245,0.00005657188,0.0001194891,0.0001557894,0.0001186588,0.0001250227],"domain_scores_gemma":[0.9975777,0.002028011,0.00004222817,0.0002941868,0.00004739464,0.00001043366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006347921,0.000006516213,0.000004531103,0.00002789023,0.000007037065,1.273464e-7,0.00001909581,0.9215549,0.0004439471,0.07396336,0.0004565372,0.00350968],"study_design_scores_gemma":[0.000350888,0.00007811614,0.000840059,0.000008848657,0.00001085291,0.00003307002,0.00005794262,0.9667686,0.006393178,0.02479211,0.0005081107,0.0001581805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0000084585,0.0001764781,0.9987522,0.00007319364,0.0001636955,0.0002828547,0.000001215157,0.000329401,0.0002125484],"genre_scores_gemma":[0.04429886,4.24538e-7,0.9552303,0.00001594457,0.00006478347,0.00008799531,8.590206e-7,0.000005266952,0.0002955407],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04917125,"threshold_uncertainty_score":0.1677607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05583593816621917,"score_gpt":0.2410869674143623,"score_spread":0.1852510292481431,"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."}}