{"id":"W7116930941","doi":"10.30557/qw000102","title":"Knowledge Building in the Artificial Intelligence Age: Exploring the Role of Large Language Models as Students’ Consultant","year":2025,"lang":"","type":"article","venue":"Qwerty","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Perspective (graphical); Key (lock); Applications of artificial intelligence; Marketing and artificial intelligence; Constructed language; Knowledge-based systems","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":[0.00572963,0.0003086175,0.0003205347,0.0009942974,0.001628482,0.007921215,0.001309011,0.001312932,0.004388349],"category_scores_gemma":[0.01734319,0.0003589799,0.0003484536,0.0008114772,0.009178204,0.01623278,0.006328901,0.003223212,0.0004930362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001901448,"about_ca_system_score_gemma":0.00218916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001915708,"about_ca_topic_score_gemma":0.002557882,"domain_scores_codex":[0.9968151,0.002462518,0.00003979405,0.0002156957,0.00027074,0.0001961297],"domain_scores_gemma":[0.9836661,0.01369773,0.0006238864,0.0009378479,0.0004071169,0.0006673501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008389256,0.0003928511,0.01401834,0.0001400233,0.0000192578,0.0003739264,0.2298637,0.001696797,0.00146343,0.6646938,0.002957526,0.08429637],"study_design_scores_gemma":[0.00003780283,0.0001312449,0.004069701,0.0002318281,0.00003014595,0.0003885875,0.1070404,0.03055376,0.002054268,0.8062429,0.04916888,0.00005034754],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7378494,0.00152616,0.1298826,0.02454175,0.0001077248,0.00006082976,0.00005242613,0.0002117865,0.1057674],"genre_scores_gemma":[0.9863957,0.0003034319,0.01073259,0.0003108967,0.00001598944,0.00002461416,0.00001414408,0.00003282031,0.002169683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007921215,"threshold_uncertainty_score":0.03030157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1143639374036015,"score_gpt":0.4636928274011029,"score_spread":0.3493288899975013,"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."}}