{"id":"W4241522689","doi":"10.4018/978-1-5225-2255-3.ch206","title":"Automatic Item Generation","year":2017,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Test (biology); Computer science; Process (computing); Item bank; Item response theory; Data science; Industrial engineering; Engineering; Statistics; Psychometrics; Mathematics; Programming language","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":[0.00009941606,0.0002251035,0.0002102253,0.00005210486,0.0002433794,0.0002064091,0.001183678,0.0003403878,0.00002726182],"category_scores_gemma":[0.00001780262,0.0002215923,0.00009460236,0.000005125917,0.00007663522,0.0001072432,0.000266203,0.0002005515,0.0003485628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000186479,"about_ca_system_score_gemma":0.000388243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007648187,"about_ca_topic_score_gemma":0.00002294306,"domain_scores_codex":[0.9989224,0.000009290479,0.0002185723,0.0004107933,0.000263369,0.0001755897],"domain_scores_gemma":[0.9984958,0.00002121541,0.0002662708,0.001070259,0.00008165911,0.00006480344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[1.800591e-7,0.000005513404,0.000007880329,0.000007755954,0.00002896447,0.00001466073,0.00001350727,4.165683e-7,0.00001012283,0.945675,0.006601481,0.04763452],"study_design_scores_gemma":[0.00009209306,0.0000385529,0.0001303232,0.00009340652,0.00001938326,0.00005059634,0.000001005635,0.002590602,0.00009533318,0.9469146,0.04968931,0.000284795],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001261059,0.000161545,0.008938782,0.0008525836,0.001221255,0.0001804685,0.00001184125,0.0003355767,0.9881718],"genre_scores_gemma":[0.3386805,0.000009167112,0.04919728,0.001214677,0.001136487,0.00007975805,0.00001602786,0.00003691294,0.6096292],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3785427,"threshold_uncertainty_score":0.9036271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03501744663849034,"score_gpt":0.2974116225038251,"score_spread":0.2623941758653348,"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."}}