{"id":"W4390098186","doi":"10.1109/models-c59198.2023.00143","title":"17th International Workshop on Models and Evolution Special Theme: Sustainability (ME 2023)","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Software evolution; Computer science; Documentation; Artifact (error); Theme (computing); Software engineering; Sustainability; Systems engineering; Data science; Risk analysis (engineering); Software; Software system; Engineering; World Wide Web; Artificial intelligence; Business; Software construction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008513517,0.002167859,0.001552009,0.002181811,0.001160203,0.007109635,0.00345869,0.003716751,0.06133001],"category_scores_gemma":[0.01047491,0.0009914573,0.003166008,0.002013645,0.00130241,0.006945759,0.007456474,0.007244428,0.02141745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002877423,"about_ca_system_score_gemma":0.002909582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002945646,"about_ca_topic_score_gemma":0.004046246,"domain_scores_codex":[0.9963729,0.001561484,0.0002146698,0.0006187495,0.0008455972,0.0003866593],"domain_scores_gemma":[0.9948323,0.001649109,0.0001574048,0.0008653569,0.001526242,0.0009696151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002649802,0.0003457665,0.0006477528,0.0007066671,0.0001316503,0.0004129779,0.0007454908,0.006579585,0.002896534,0.08305486,0.5983573,0.3058564],"study_design_scores_gemma":[0.00002884378,0.0001012996,0.0004188103,0.0006606523,0.00003767547,0.0003385057,0.0002441092,0.006861493,0.001012499,0.04022229,0.9500362,0.00003765154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00939656,0.07735451,0.5624755,0.06035041,0.1034452,0.0008167092,0.002893595,0.003864217,0.1794032],"genre_scores_gemma":[0.06610677,0.0568577,0.2977538,0.01019085,0.03166976,0.001576689,0.01300777,0.005884326,0.5169523],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06133001,"threshold_uncertainty_score":0.2051693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05198443850770077,"score_gpt":0.3233004322492022,"score_spread":0.2713159937415014,"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."}}