{"id":"W4286331388","doi":"10.1109/saner53432.2022.00046","title":"What really is software design?","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Software design; Computer science; Software development; Software engineering; Software construction; Social software engineering; Software design description; Software peer review; Software; Personal software process; Context (archaeology); Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007098725,0.0003277395,0.0003577264,0.001004436,0.0003703756,0.0005787862,0.001290637,0.00009999761,0.0005931705],"category_scores_gemma":[0.0001626187,0.0003473458,0.0002290893,0.001310243,0.00003907527,0.001156537,0.0004198019,0.0005997592,0.00001906891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003133682,"about_ca_system_score_gemma":0.0001094025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009651601,"about_ca_topic_score_gemma":0.000008170358,"domain_scores_codex":[0.9973295,0.0001346926,0.0004402583,0.0007614573,0.0009808349,0.0003533035],"domain_scores_gemma":[0.9984251,0.0002916106,0.0002277615,0.0006645448,0.0002253417,0.0001656681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002341074,0.0005820435,0.006880093,0.0001026052,0.004621274,0.000304411,0.002757597,0.7617876,0.001493686,0.1274908,0.02972,0.06402582],"study_design_scores_gemma":[0.000452405,0.0004126682,0.003939632,0.0000764391,0.0002589219,0.0001098469,0.0002607744,0.9646078,0.0003510106,0.004270361,0.02430916,0.0009509666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001624912,0.0006428302,0.9931595,0.001512288,0.001701811,0.0001715444,0.00003943188,0.001066635,0.00008108743],"genre_scores_gemma":[0.7846985,0.001796974,0.2093715,0.001069669,0.0002182787,0.000241764,0.0001160804,0.00005377415,0.002433451],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.783788,"threshold_uncertainty_score":0.9998978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03903169716286584,"score_gpt":0.2895528552680603,"score_spread":0.2505211581051945,"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."}}