{"id":"W7135570479","doi":"","title":"Good friend or bad influence? Exploring the impact of GenAI on student experience and outcomes in postgraduate assessment","year":2024,"lang":"en","type":"article","venue":"Research Portal (Queen's University Belfast)","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Session (web analytics); Perception; Relation (database); Empirical research; Student engagement","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":[0.009770396,0.0002104329,0.0004541183,0.0007950278,0.001555505,0.004511155,0.0005190038,0.0006279211,0.003397759],"category_scores_gemma":[0.05631989,0.0001561297,0.000302627,0.0006556957,0.002154735,0.001731672,0.002695284,0.00145532,0.000750403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007550479,"about_ca_system_score_gemma":0.000769745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001056181,"about_ca_topic_score_gemma":0.00264649,"domain_scores_codex":[0.9924423,0.004914409,0.0002650243,0.0002983729,0.001449431,0.0006305597],"domain_scores_gemma":[0.9452836,0.03577155,0.006810462,0.001807949,0.002922376,0.007404099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005288534,0.001115429,0.5407532,0.0002775382,0.0001399436,0.0007859951,0.2838187,0.000250749,0.003025625,0.001858621,0.002826013,0.1646192],"study_design_scores_gemma":[0.00005708426,0.002406829,0.6723105,0.0002142993,0.0001839233,0.001202368,0.2971129,0.001347386,0.00242987,0.002086187,0.02050916,0.0001394425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931197,0.0001469276,0.0003453305,0.0008185571,0.00003494266,0.00001081893,0.00001503906,0.00002314234,0.005485539],"genre_scores_gemma":[0.9988475,0.00007378001,0.0001620748,0.00009092631,0.00001224997,0.000006901576,0.000008412256,0.000005581578,0.0007925899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009770396,"threshold_uncertainty_score":0.05167139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05709983617547286,"score_gpt":0.3715912495076064,"score_spread":0.3144914133321335,"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."}}