{"id":"W4411272387","doi":"10.1109/msr66628.2025.00117","title":"Smells-sus: Sustainability Smells in IaC","year":2025,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Sustainability; Computer science; Code smell; Ecology; Programming language; Software; Software quality; Biology; Software development","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":[0.00840656,0.0006011511,0.0003419772,0.004190836,0.001272258,0.002552958,0.0007952921,0.0008837012,0.001348907],"category_scores_gemma":[0.07215974,0.0004117476,0.0004237302,0.006068159,0.00237878,0.004897308,0.003074418,0.001090058,0.000381744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002371514,"about_ca_system_score_gemma":0.002148245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007046209,"about_ca_topic_score_gemma":0.01232307,"domain_scores_codex":[0.9908533,0.003312096,0.001054728,0.001076113,0.003123372,0.0005804438],"domain_scores_gemma":[0.9025258,0.05543629,0.02192486,0.008779001,0.009487174,0.00184687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002971236,0.0002000403,0.7384382,0.001579334,0.00008392678,0.002552779,0.08139437,0.00359898,0.01040903,0.009010816,0.01569354,0.1367418],"study_design_scores_gemma":[0.00003971236,0.0004811407,0.6694459,0.002266537,0.0001113989,0.006872146,0.1112844,0.03093158,0.01540817,0.01610143,0.1466792,0.0003784878],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758302,0.0005973967,0.01318203,0.001183387,0.00003808017,0.0001635109,0.002180492,0.001510745,0.005314221],"genre_scores_gemma":[0.9819452,0.0002639183,0.01264572,0.0003461485,0.00001791257,0.0001430941,0.002913263,0.0004916791,0.001233171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00840656,"threshold_uncertainty_score":0.04445869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006284715078031602,"score_gpt":0.2841022955910687,"score_spread":0.2778175805130371,"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."}}