{"id":"W4402384823","doi":"","title":"Path to Personalization: A Systematic Review of GenAI in Engineering Education","year":2024,"lang":"en","type":"review","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Personalization; Computer science; Path (computing); World Wide Web; Computer network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01973263,0.001385136,0.01064149,0.008045585,0.0008449934,0.004964881,0.002056507,0.002796682,0.008990777],"category_scores_gemma":[0.06064186,0.001156704,0.01110046,0.009452438,0.001631191,0.004421547,0.003387456,0.002963732,0.0004801201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004183481,"about_ca_system_score_gemma":0.0158694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008222033,"about_ca_topic_score_gemma":0.04600881,"domain_scores_codex":[0.9855683,0.006368968,0.00456755,0.001142041,0.001871573,0.000481526],"domain_scores_gemma":[0.9578984,0.03143814,0.006903274,0.0006663091,0.002495195,0.0005986533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000383427,0.00002637832,0.0008776439,0.9470564,0.01258677,0.00006421359,0.0004845909,0.00005546872,0.00009111434,0.0002553382,0.001143064,0.0369757],"study_design_scores_gemma":[0.00072717,0.0002209942,0.004122558,0.8941424,0.08683795,0.0002317115,0.000617197,0.00005229067,0.00008849345,0.0004662124,0.0124424,0.00005055412],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008480755,0.9979208,0.0001241397,0.0003366444,0.00009984298,0.0002607999,0.0002214283,0.000005962986,0.0001823446],"genre_scores_gemma":[0.01925325,0.977475,0.001050916,0.001375817,0.00008492546,0.000486479,0.0001422123,0.000008353528,0.000122928],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01973263,"threshold_uncertainty_score":0.1043574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01116437359652529,"score_gpt":0.2408434930421815,"score_spread":0.2296791194456562,"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."}}