{"id":"W4416436875","doi":"10.1108/979-8-88730-606-320251010","title":"From Adaptive Testing to Personalized Adaptive Testing","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computerized adaptive testing; Adaptive control; Test (biology); Key (lock); Matching (statistics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001128086,0.0006220473,0.0003833128,0.0009311244,0.0003627417,0.002329054,0.001161907,0.001153867,0.01831226],"category_scores_gemma":[0.004594618,0.0003043892,0.0002718738,0.001360147,0.001978086,0.002787097,0.001720536,0.002976054,0.005265773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009839203,"about_ca_system_score_gemma":0.001019735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001393989,"about_ca_topic_score_gemma":0.002164806,"domain_scores_codex":[0.9991012,0.0003058264,0.00002770062,0.0001050068,0.0004184215,0.0000419111],"domain_scores_gemma":[0.9982221,0.00129787,0.00003635033,0.0002203959,0.0001624749,0.00006098767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002022892,0.0000615691,0.0002910073,0.0001704133,0.000009318123,0.00008268467,0.0004058952,0.002260633,0.0004736027,0.3102498,0.08033077,0.6056441],"study_design_scores_gemma":[0.000007288921,0.00002559871,0.0009102732,0.0003318548,0.000009257146,0.0003679568,0.0002163351,0.00370863,0.0006187434,0.6078509,0.3859355,0.00001770518],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.003552683,0.0311262,0.2716257,0.008521728,0.001367018,0.0001097372,0.0002286072,0.001324765,0.6821435],"genre_scores_gemma":[0.1488631,0.04512583,0.2068583,0.01120587,0.00213335,0.0005005667,0.0006450481,0.001187494,0.5834804],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01831226,"threshold_uncertainty_score":0.06126064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.723959688406624,"score_gpt":0.4605334489804211,"score_spread":0.2634262394262029,"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."}}