{"id":"W3011766621","doi":"10.6017/ital.v39i1.11837","title":"Creating and Managing a Repository of Past Exam Papers","year":2020,"lang":"en","type":"article","venue":"Information Technology and Libraries","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Council of University Libraries; University of Toronto","funders":"","keywords":"Workflow; Computer science; Scripting language; World Wide Web; Metadata; Set (abstract data type); DSPACE; Data science; Database; Operating system; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007981575,0.0000714062,0.0001177296,0.0001994421,0.0002204142,0.0002226943,0.0002099961,0.00007036443,0.000002449622],"category_scores_gemma":[0.00008418428,0.00006529249,0.0000108661,0.0003143563,0.0001547448,0.003820929,0.0002624872,0.00009140097,0.000001986017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002233673,"about_ca_system_score_gemma":0.00002150366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.64553e-7,"about_ca_topic_score_gemma":1.97059e-8,"domain_scores_codex":[0.9994078,0.000007301222,0.0003453039,0.00007085025,0.00007878477,0.0000899922],"domain_scores_gemma":[0.9995094,0.0000436114,0.0002649877,0.0001107838,0.00003692329,0.00003430456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003846954,0.000003129373,0.002216638,0.0003919747,0.00001068724,5.285515e-7,0.02433752,0.00002155182,0.00007062244,0.8713822,0.0001190267,0.1014422],"study_design_scores_gemma":[0.001212413,0.0004145537,0.003427487,0.0004328112,0.00002419094,0.0002082095,0.01879134,0.7853683,0.0355649,0.1062674,0.04760836,0.0006800829],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1502597,0.0005997262,0.7331372,0.009317269,0.0001152924,0.0002157423,0.000001422316,0.001142275,0.1052114],"genre_scores_gemma":[0.942495,0.00001959686,0.05666992,0.0007740732,0.00001294601,0.000003430797,0.000001372603,0.000001879008,0.00002170416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7922354,"threshold_uncertainty_score":0.2770081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006407743991178476,"score_gpt":0.1780866930068661,"score_spread":0.1716789490156876,"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."}}