{"id":"W2504560837","doi":"10.4018/978-1-59140-497-2.ch010","title":"Introducing a Computer-Adaptive Testing System to a Small School District","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computerized adaptive testing; School district; Set (abstract data type); Test (biology); Plan (archaeology); Pencil (optics); Computer science; Mathematics education; Psychology; Engineering; Mathematics; Statistics; Geography; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002110763,0.0004542917,0.0004539468,0.000162589,0.0002028473,0.0001565548,0.001612769,0.0003434883,0.000004958883],"category_scores_gemma":[0.00003869567,0.0004562854,0.0001250683,0.00009217154,0.00006092028,0.00007135065,0.001011448,0.0004842179,0.0004686188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008524612,"about_ca_system_score_gemma":0.0006718535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001390949,"about_ca_topic_score_gemma":0.00002470238,"domain_scores_codex":[0.9977696,0.0000290683,0.0004551965,0.001019817,0.0003003078,0.0004260328],"domain_scores_gemma":[0.9979514,0.00009959379,0.0003126276,0.001053115,0.0002969052,0.0002863701],"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":[0.000004959804,0.00001459715,0.0000444217,0.00003261386,0.00006922368,0.00006738475,0.00004853028,0.00002156719,0.000004151828,0.9587669,0.001137016,0.03978858],"study_design_scores_gemma":[0.0008822095,0.002032354,0.00176668,0.005584202,0.0002397715,0.001305018,0.0001092687,0.008219927,0.0001878944,0.9554008,0.02075759,0.003514247],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.0001122447,0.00006868705,0.3636117,0.0001211049,0.0009311253,0.0004099302,0.00002454692,0.0006020246,0.6341186],"genre_scores_gemma":[0.2641032,6.4762e-7,0.710274,0.000817426,0.001480716,0.0001373592,0.000004087596,0.00005801137,0.02312453],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6109941,"threshold_uncertainty_score":0.9997889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03640143103223174,"score_gpt":0.2493888226108273,"score_spread":0.2129873915785956,"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."}}