{"id":"W4399665471","doi":"10.18438/eblip30512","title":"A Survey on Student Use of Generative AI Chatbots for Academic Research","year":2024,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"AI in Service Interactions","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Generative grammar; Work (physics); Generative model; Trustworthiness; Computer science; Graduate students; Plan (archaeology); Psychology; Mathematics education; Medical education; Pedagogy; Artificial intelligence; Engineering; Internet privacy; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004537191,0.0002240634,0.0003991265,0.001766114,0.0006558735,0.001193301,0.0003211419,0.0007039218,0.003355035],"category_scores_gemma":[0.01327571,0.0003313908,0.0002918619,0.001502057,0.0004261286,0.001452025,0.0009958773,0.0007230286,0.001744237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005081364,"about_ca_system_score_gemma":0.0004997213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006965582,"about_ca_topic_score_gemma":0.0009279948,"domain_scores_codex":[0.996919,0.001296766,0.0004895204,0.0002605276,0.0006763788,0.0003578503],"domain_scores_gemma":[0.98264,0.00729312,0.004060903,0.0006643844,0.003351155,0.001990447],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001840111,0.0005810869,0.8726265,0.0003476171,0.00003667598,0.0002529031,0.04900163,0.0001438665,0.003551356,0.0002408691,0.00431499,0.0687186],"study_design_scores_gemma":[0.00001896991,0.001860554,0.858848,0.000267646,0.00003416932,0.0009075631,0.10597,0.00120252,0.002535517,0.0001799121,0.02809221,0.00008296452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971726,0.0001083106,0.0004955698,0.000265471,0.000006983817,0.00005676604,0.0003660733,0.00004472353,0.001483552],"genre_scores_gemma":[0.9959443,0.0003496665,0.001035959,0.0004305175,0.00001541884,0.000194278,0.0004942566,0.00001965485,0.001515855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9954628,"threshold_uncertainty_score":0.02399528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1488401296740738,"score_gpt":0.4328009033003931,"score_spread":0.2839607736263192,"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."}}