{"id":"W4400484629","doi":"10.1145/3664646.3664773","title":"The Role of Generative AI in Software Development Productivity: A Pilot Case Study","year":2024,"lang":"en","type":"article","venue":"","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Generative grammar; Computer science; Productivity; Software development; Software; Software engineering; 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":[0.01454023,0.0006267488,0.0004069271,0.002341931,0.004406865,0.002998242,0.002428823,0.002077152,0.002427471],"category_scores_gemma":[0.0416391,0.0005391357,0.0005159269,0.001631885,0.003477892,0.003263571,0.004531821,0.002392969,0.0005612003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002471811,"about_ca_system_score_gemma":0.003342459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002860511,"about_ca_topic_score_gemma":0.005983378,"domain_scores_codex":[0.9872034,0.009278221,0.0004828969,0.0006130781,0.001468601,0.0009538441],"domain_scores_gemma":[0.91698,0.06469035,0.003504073,0.005162254,0.005091717,0.00457168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007094823,0.01121997,0.0734302,0.00109099,0.00008521281,0.02661078,0.6571249,0.005878958,0.01223318,0.0147173,0.003999401,0.1928996],"study_design_scores_gemma":[0.0007689107,0.01191652,0.0758694,0.001118678,0.0002120508,0.01547476,0.7319747,0.03445475,0.02260701,0.01691644,0.08835439,0.0003324098],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854086,0.0001022952,0.0085246,0.0007401126,0.0000168726,0.0003007131,0.00004022153,0.00005120761,0.004815267],"genre_scores_gemma":[0.9863603,0.0002000812,0.01153479,0.0001650649,0.00001515974,0.0002754411,0.00004004998,0.00002918585,0.001379977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01454023,"threshold_uncertainty_score":0.07689697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06379408361732772,"score_gpt":0.3014082445776247,"score_spread":0.2376141609602969,"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."}}