{"id":"W76726555","doi":"","title":"Exam Question Recommender System","year":2005,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Recommender system; Computer science; Heuristic; Test (biology); Function (biology); World Wide Web; Order (exchange); Feature (linguistics); Information retrieval; Multimedia; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004661975,0.00009681054,0.0001160858,0.0000765033,0.00007250004,0.0001420818,0.0004594055,0.00005722664,0.00002684565],"category_scores_gemma":[0.000003869285,0.00007730871,0.00004274388,0.0001373585,0.000005600697,0.0005719778,0.0001145362,0.00007042338,0.0001958303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000108085,"about_ca_system_score_gemma":0.00001389195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001031893,"about_ca_topic_score_gemma":0.00002108352,"domain_scores_codex":[0.9991299,0.00008781919,0.0002195415,0.0002476532,0.0001360787,0.0001790279],"domain_scores_gemma":[0.9993295,0.00002873869,0.00005750308,0.0004758149,0.0000424464,0.00006599491],"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":[4.62699e-7,0.00002532851,0.0001811348,0.00001497255,0.000006860517,0.000002205188,0.00008660155,0.000003231071,0.00006910937,0.7501386,0.07865243,0.1708191],"study_design_scores_gemma":[0.0003064941,0.0001009541,0.0007686497,0.0001005263,0.000004143878,0.0002109724,0.0001069032,0.0919062,0.01014904,0.001703064,0.8942132,0.0004298486],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001584737,0.00006589229,0.818982,0.003397584,0.0003004767,0.0001147802,1.894192e-7,0.001410988,0.1755696],"genre_scores_gemma":[0.7837751,0.000007367498,0.21397,0.0005218945,0.0001585403,0.00002850628,6.678361e-7,0.000006143943,0.001531851],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8155608,"threshold_uncertainty_score":0.3152558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01617247115543423,"score_gpt":0.2519689888982987,"score_spread":0.2357965177428644,"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."}}