{"id":"W4411374663","doi":"10.1145/3724363.3729040","title":"The Role of Generative AI in Software Student CollaborAItion","year":2025,"lang":"en","type":"article","venue":"","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Erasmus+; Leibniz-Gemeinschaft; European Commission","keywords":"Computer science; Generative grammar; 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":[0.000134664,0.00003104847,0.00005150727,0.00003967013,0.00005293639,0.00005348736,0.0002609759,0.00001470724,0.000001223847],"category_scores_gemma":[0.00004099682,0.00002015111,0.00001390106,0.0004142265,0.00001579597,0.00005003257,0.00008946663,0.00005886319,0.000002607929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001578099,"about_ca_system_score_gemma":0.00007892995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002063616,"about_ca_topic_score_gemma":0.0001192759,"domain_scores_codex":[0.9996243,0.0000409846,0.0000987157,0.00008351772,0.00008756725,0.00006492193],"domain_scores_gemma":[0.9996704,0.00007461703,0.00002252213,0.0001423454,0.00008172027,0.000008348662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003123508,0.0001340853,0.04452134,0.000005335442,0.00002482819,0.000001725001,0.001012309,0.004916744,0.0009462992,0.8433581,0.001846359,0.1032297],"study_design_scores_gemma":[0.0006961391,0.0001581057,0.09760138,0.00008778316,0.00001031653,6.435686e-7,0.002472081,0.6661177,0.01661063,0.1733886,0.04265339,0.0002031947],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2079626,0.001217817,0.7118695,0.06371151,0.0004178086,0.0002880257,0.000002743388,0.0001823307,0.01434768],"genre_scores_gemma":[0.9814798,0.00001912506,0.01530047,0.000517523,0.00001205183,0.000003462509,6.076919e-7,0.000001104548,0.002665887],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7735171,"threshold_uncertainty_score":0.08217385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003519907541008959,"score_gpt":0.2869468062346173,"score_spread":0.2834268986936083,"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."}}