{"id":"W2617519947","doi":"10.1109/icse.2017.31","title":"On Cross-Stack Configuration Errors","year":2017,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Stack (abstract data type); Call stack; JavaScript; Slicing; Protocol stack; Program slicing; Configuration Management (ITSM); Operating system; Software; Modular design; Source code; Programming language; World Wide Web","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":[0.0001811692,0.00005279685,0.00004425775,0.00004078276,0.0002239128,0.0007894349,0.001039987,0.00003127178,0.00009742876],"category_scores_gemma":[0.0009893172,0.00004487668,0.00002008546,0.00003247641,0.00003789923,0.0004615715,0.0001323244,0.00008458876,0.0007383641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000239524,"about_ca_system_score_gemma":0.00002582853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003057765,"about_ca_topic_score_gemma":0.000003447954,"domain_scores_codex":[0.9993443,0.000007265386,0.00006639384,0.0001844791,0.0002396104,0.000157899],"domain_scores_gemma":[0.9987006,0.0001838418,0.00002499561,0.0009752914,0.00005826549,0.00005703146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001242549,0.00007643669,0.05801802,0.00002190804,0.00001906029,0.00006196443,0.0003136523,0.001876705,0.002271634,0.8721998,0.01343217,0.05169619],"study_design_scores_gemma":[0.000258599,0.00007695648,0.9552112,0.00000858005,3.220796e-7,0.000002734858,0.000001155102,0.02642956,0.01311065,0.002719948,0.002048592,0.0001316908],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2906326,0.000005091798,0.6759735,0.001129296,0.0006537308,0.0001105638,9.183325e-7,0.0004298084,0.03106452],"genre_scores_gemma":[0.9904103,6.675347e-7,0.004475844,0.00006925927,0.00002941581,0.00000467146,3.698755e-7,0.000004191787,0.005005259],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8971932,"threshold_uncertainty_score":0.9490423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03782559471601254,"score_gpt":0.3455376751967963,"score_spread":0.3077120804807838,"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."}}