{"id":"W2126337504","doi":"10.5539/cis.v3n2p244","title":"Shuffling Algorithms for Automatic Generator Question Paper System","year":2010,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shuffling; Computer science; Generator (circuit theory); Repetition (rhetorical device); Quality (philosophy); Algorithm; Process (computing); Test (biology); Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.0008400322,0.00007282694,0.0000718874,0.0002009811,0.000427923,0.0004525104,0.0005382701,0.00004628368,0.000001877278],"category_scores_gemma":[0.00003311699,0.00006151678,0.00001711558,0.0003722091,0.0001305619,0.00714487,0.0001464779,0.00009352144,0.00001709745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002979529,"about_ca_system_score_gemma":0.0001827592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002015694,"about_ca_topic_score_gemma":3.473872e-7,"domain_scores_codex":[0.9992355,0.000007971577,0.0002205247,0.0001605503,0.0002118049,0.0001636629],"domain_scores_gemma":[0.9992775,0.00005229806,0.00009239181,0.0002480927,0.0002560877,0.00007368034],"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":[2.147366e-7,0.000007455835,0.0001036946,0.00002556647,0.000001390205,6.603629e-8,0.0003145833,0.00004033658,0.0009774164,0.8115615,0.0001845694,0.1867832],"study_design_scores_gemma":[0.0001328847,0.00003638963,0.005424885,0.00001812326,0.000001495258,0.00003425171,0.0000438713,0.982852,0.002247704,0.001183464,0.007926662,0.00009822112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0548568,0.000008002712,0.941712,0.0009814494,0.001624197,0.0001739621,0.000001415261,0.0002291583,0.0004129726],"genre_scores_gemma":[0.542679,0.000001954994,0.4567301,0.0004622984,0.00008424663,0.00003396869,0.000002441558,0.000001053289,0.00000488895],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9828117,"threshold_uncertainty_score":0.5179859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01129799610268725,"score_gpt":0.2868023162128558,"score_spread":0.2755043201101686,"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."}}