{"id":"W4413181258","doi":"10.1109/aiiot65859.2025.11105309","title":"Responsible Generative AI for Software Development Life Cycle","year":2025,"lang":"en","type":"article","venue":"","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science and Technology Awareness Network; Regent Park Community Health Centre","funders":"","keywords":"Computer science; Generative grammar; Software development; Software development process; Software engineering; Software; Artificial intelligence; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004578831,0.00009756766,0.0001620178,0.0004107119,0.0004582832,0.0006620775,0.0008010669,0.00003072255,0.0004310311],"category_scores_gemma":[0.007960731,0.00006847734,0.0000628084,0.001022517,0.00004190313,0.0001685409,0.0005581912,0.00004551674,0.0004104355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004025154,"about_ca_system_score_gemma":0.0005380974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009605923,"about_ca_topic_score_gemma":0.00008655883,"domain_scores_codex":[0.9978548,0.00008345683,0.0004961058,0.0006919762,0.0006350866,0.000238609],"domain_scores_gemma":[0.9972035,0.001470223,0.0000702813,0.00079528,0.0003712556,0.00008949842],"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":[0.00002954352,0.00003267662,0.0005424125,0.000003193767,0.00001688766,5.458047e-7,0.0001849372,0.001093669,0.00002155803,0.01701347,0.8376824,0.1433787],"study_design_scores_gemma":[0.0003337172,0.0000162031,0.004656372,0.00001185344,0.000005178254,1.568172e-7,0.0005267264,0.0186172,0.002005116,0.04555471,0.928152,0.0001208179],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01374359,0.00004982267,0.9661142,0.006545953,0.001426111,0.0003075719,0.00001212506,0.0001148314,0.0116858],"genre_scores_gemma":[0.1089031,0.000001065358,0.5361755,0.01370182,0.00009044982,0.00008687676,0.00002909004,0.000008419451,0.3410037],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4299387,"threshold_uncertainty_score":0.9530314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1271391784760887,"score_gpt":0.4232727176023414,"score_spread":0.2961335391262527,"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."}}