{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004768085,0.0001222213,0.0001177788,0.0001510626,0.0001564248,0.0003369274,0.0001798289,0.00001733249,0.00007398841],"category_scores_gemma":[0.00009697879,0.00007388539,0.00001691718,0.0006998992,0.00004551689,0.0007921434,0.0002473528,0.000113975,0.00008453271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002178166,"about_ca_system_score_gemma":0.00006492284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002185313,"about_ca_topic_score_gemma":0.009990457,"domain_scores_codex":[0.9991024,0.00001072717,0.0002483205,0.0002817665,0.0001885485,0.0001682531],"domain_scores_gemma":[0.999557,0.0000517423,0.00004223755,0.0002170064,0.0001277234,0.000004284427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007566623,0.001248615,0.08096833,0.0003224245,0.000126951,0.0009961633,0.001784343,0.0000683391,0.0008993287,0.01339741,0.003942137,0.8961703],"study_design_scores_gemma":[0.000634636,0.0001349337,0.02470844,0.0003544914,0.0001356046,0.0002551039,0.02790513,0.01229676,0.01181143,0.01127793,0.9093685,0.001117077],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940853,0.0006778344,0.001845732,0.0008476925,0.0003940093,0.0005831655,0.000001225017,0.0001091794,0.001455857],"genre_scores_gemma":[0.9987419,0.000003542711,0.0002431193,0.0001555796,0.0002524792,0.00006772685,0.000004851944,0.00001258136,0.0005181873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9054263,"threshold_uncertainty_score":0.5574909,"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."}}