{"id":"W202414668","doi":"","title":"Towards a compliance support framework for global software companies","year":2007,"lang":"en","type":"article","venue":"International Conference on Software Engineering","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Business; Compliance (psychology); Software; Process management; Revenue; Process (computing); Software development; Computer science; Knowledge management; Risk analysis (engineering); Accounting","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01579765,0.001351528,0.0009848375,0.005084039,0.002941091,0.01003104,0.003188587,0.006060078,0.001943259],"category_scores_gemma":[0.008078233,0.001055514,0.001959077,0.003438973,0.005563142,0.01143416,0.007134218,0.005566448,0.001081309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003023301,"about_ca_system_score_gemma":0.00886609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006503123,"about_ca_topic_score_gemma":0.006139951,"domain_scores_codex":[0.9895821,0.005011634,0.001263087,0.0008687687,0.00242318,0.0008513081],"domain_scores_gemma":[0.9918588,0.002242944,0.001305414,0.001614681,0.002128728,0.0008494632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000278783,0.0002361669,0.001579449,0.0001885302,0.00003348065,0.0004484208,0.002420239,0.01672753,0.002209312,0.9249472,0.003757952,0.04742375],"study_design_scores_gemma":[0.0001343467,0.0003299511,0.001750136,0.0008238325,0.0001573404,0.0007203664,0.003775989,0.1875863,0.004296195,0.5760146,0.2242462,0.0001646941],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01520126,0.0004661067,0.9513026,0.007228536,0.0001405021,0.0006387842,0.0001138296,0.002144926,0.0227635],"genre_scores_gemma":[0.1678972,0.0006057065,0.824131,0.001092892,0.0001757174,0.0009832116,0.0004776124,0.0002591944,0.004377504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01579765,"threshold_uncertainty_score":0.08354694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07208877016142141,"score_gpt":0.3530945818371886,"score_spread":0.2810058116757672,"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."}}