{"id":"W4378770585","doi":"10.48550/arxiv.2305.17286","title":"A Study of Documentation for Software Architecture","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Software Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Documentation; Software documentation; Computer science; Internal documentation; Context (archaeology); World Wide Web; Architecture; Software; Software engineering; Software system; Information retrieval; Programming language; Software construction","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0116897,0.0002963388,0.000407081,0.001156461,0.0018906,0.002746981,0.0005637608,0.001009851,0.001810642],"category_scores_gemma":[0.09234437,0.0003511193,0.0002641515,0.001627975,0.002843424,0.003867329,0.001386409,0.002051554,0.0002425619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001461548,"about_ca_system_score_gemma":0.002067733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001104745,"about_ca_topic_score_gemma":0.001459172,"domain_scores_codex":[0.9896365,0.007983162,0.0003867893,0.0004567857,0.00132596,0.0002108208],"domain_scores_gemma":[0.7834817,0.1805885,0.02222006,0.004455354,0.006155115,0.003099278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002463069,0.002175276,0.188899,0.0008031543,0.00006008481,0.001100247,0.6527765,0.0008066854,0.005733481,0.02699319,0.001780797,0.1186254],"study_design_scores_gemma":[0.0002558751,0.005920515,0.4651041,0.00190871,0.0001263504,0.004280122,0.3678539,0.01074005,0.006368284,0.04424338,0.09299634,0.0002024057],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897853,0.0004602741,0.004067936,0.0008252921,0.00000912342,0.00004023131,0.00001480281,0.00001197827,0.004785092],"genre_scores_gemma":[0.9939005,0.0004074389,0.004236577,0.0002245786,0.00001926,0.00007200191,0.00002871888,0.00001171438,0.001099192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0116897,"threshold_uncertainty_score":0.06182176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1032287581500761,"score_gpt":0.2429092687851422,"score_spread":0.1396805106350661,"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."}}