{"id":"W4386781823","doi":"10.1007/s10664-023-10347-2","title":"A study of documentation for software architecture","year":2023,"lang":"en","type":"article","venue":"Empirical Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Documentation; Software documentation; Computer science; Internal documentation; Context (archaeology); World Wide Web; Software engineering; Software; Software system; Information retrieval; Programming language; Software construction","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003571362,0.0002307526,0.0002212334,0.002232267,0.002475068,0.002340769,0.0007345334,0.001041781,0.003363178],"category_scores_gemma":[0.06000892,0.0003328415,0.000278525,0.003920404,0.002632151,0.004928119,0.001157751,0.001865455,0.0003229524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002482453,"about_ca_system_score_gemma":0.003971827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008598512,"about_ca_topic_score_gemma":0.01125047,"domain_scores_codex":[0.9974186,0.001607057,0.000117437,0.0001132562,0.0005801443,0.0001634283],"domain_scores_gemma":[0.9233823,0.06072633,0.00497383,0.004775911,0.004968932,0.001172652],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002987343,0.001565086,0.2014709,0.0005599684,0.00005139746,0.001681837,0.08727778,0.006135859,0.004094392,0.4351791,0.007519256,0.2541657],"study_design_scores_gemma":[0.0002233286,0.001811058,0.3489943,0.001865003,0.0001817897,0.005037546,0.1087942,0.05614315,0.0101197,0.3052444,0.161424,0.0001615306],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9491572,0.001125995,0.009754143,0.001873976,0.00002414026,0.0000367606,0.00005536606,0.00007344155,0.03789894],"genre_scores_gemma":[0.9909213,0.0004783086,0.003885759,0.00008833377,0.00001348967,0.00001690181,0.00005883983,0.00003309564,0.004504045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9964286,"threshold_uncertainty_score":0.0188874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0365751899518581,"score_gpt":0.329109199373997,"score_spread":0.2925340094221389,"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."}}