{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03466298,0.0008318805,0.0005107796,0.003782966,0.003168972,0.009931264,0.002382745,0.002247019,0.004669976],"category_scores_gemma":[0.09425117,0.0007590852,0.0009237063,0.002354084,0.00704057,0.00907081,0.007358644,0.004105659,0.00170778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008628122,"about_ca_system_score_gemma":0.02014143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004147506,"about_ca_topic_score_gemma":0.005576801,"domain_scores_codex":[0.9596682,0.02264141,0.002346861,0.002416056,0.01142562,0.001501969],"domain_scores_gemma":[0.8927564,0.04997092,0.009904641,0.02765904,0.01642611,0.003282833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008459752,0.0001755263,0.007098537,0.0005414455,0.00006208666,0.0002272439,0.00542026,0.02351504,0.00247732,0.7199804,0.004870339,0.2355473],"study_design_scores_gemma":[0.00004534045,0.0002384938,0.002220668,0.001088469,0.00005752576,0.0003660307,0.002065097,0.0575228,0.004605376,0.7985932,0.1330902,0.0001068138],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02866039,0.002097408,0.877308,0.01102507,0.0002138147,0.0008422424,0.0001182368,0.001537299,0.0781974],"genre_scores_gemma":[0.4543476,0.001527703,0.5319943,0.001122878,0.00008707974,0.0009500012,0.0002342022,0.0005754926,0.009160789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03466298,"threshold_uncertainty_score":0.1833175,"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."}}