{"id":"W4384302787","doi":"10.1109/icse48619.2023.00108","title":"Code Review of Build System Specifications: Prevalence, Purposes, Patterns, and Perceptions","year":2023,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Code review; Computer science; Executable; Software engineering; Context (archaeology); Code refactoring; Software quality; Static program analysis; Empirical research; Software system; Code (set theory); Software development; Software; Programming language; Set (abstract data type)","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":[0.0004660082,0.00006673904,0.0001224958,0.0001392495,0.00004389677,0.00003767493,0.0005290037,0.00002275678,0.00005365405],"category_scores_gemma":[0.0002254587,0.00005855709,0.00002964297,0.0007019511,0.00002450921,0.0001537993,0.0002131733,0.0000692739,0.0001603383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003039851,"about_ca_system_score_gemma":0.00002939601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001411195,"about_ca_topic_score_gemma":0.000001639695,"domain_scores_codex":[0.9990654,0.00004239297,0.0002070395,0.0002393264,0.0002910147,0.0001548337],"domain_scores_gemma":[0.998881,0.0003069174,0.00003199185,0.0006084352,0.0001054665,0.00006623173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002509835,0.0001515058,0.357647,0.1660253,0.00009817346,0.00004875819,0.0009618523,0.0001106809,0.001568933,0.2704142,0.1242354,0.07873574],"study_design_scores_gemma":[0.000167644,0.00006341933,0.9608842,0.01343583,0.00001524006,0.00006535534,0.0001330501,0.01337151,0.0002659493,0.00008761201,0.01123013,0.0002800851],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05613106,0.02625538,0.9063331,0.004001676,0.0004934657,0.001677192,0.0001009696,0.003181857,0.001825308],"genre_scores_gemma":[0.8277814,0.1281478,0.03830241,0.0001558373,0.0001051226,0.0003177401,0.00002039459,0.00003102573,0.005138266],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8680307,"threshold_uncertainty_score":0.2387889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04411486717807045,"score_gpt":0.2994326122182819,"score_spread":0.2553177450402115,"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."}}