{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.002011458,0.0001054013,0.000108469,0.0004315604,0.0001776176,0.001241421,0.000501058,0.00008501458,0.0000301882],"category_scores_gemma":[0.003020824,0.0000919613,0.0000349653,0.0009374093,0.00005155709,0.3065797,0.0002399335,0.000568344,0.00007022968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002483513,"about_ca_system_score_gemma":0.0003727761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002368287,"about_ca_topic_score_gemma":2.510399e-7,"domain_scores_codex":[0.9980029,0.0006612955,0.0004340253,0.0002180552,0.0004997649,0.0001839949],"domain_scores_gemma":[0.9800692,0.01903269,0.0001604644,0.000348771,0.000305883,0.00008297625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000423457,0.00009674377,0.000526468,0.0002832261,0.00005726166,0.000006103877,0.003440185,0.002348446,0.0002234996,0.9002948,0.06674245,0.02555731],"study_design_scores_gemma":[0.0001983675,0.000734917,0.02189509,0.001116474,0.00001372432,0.0000136038,0.0003268919,0.3517796,0.007788939,0.00062593,0.6153055,0.000201018],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01350762,0.001381407,0.6186138,0.3622937,0.00127326,0.001613868,0.0001387877,0.0003607556,0.0008167832],"genre_scores_gemma":[0.7495558,0.003789654,0.07553189,0.1691575,0.0003114768,0.0004510704,0.0001642419,0.00003220374,0.001006201],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8996689,"threshold_uncertainty_score":0.9997954,"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."}}