{"id":"W4247379461","doi":"10.1002/0470013192.bsa670","title":"Test Construction","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistics in Behavioral Science","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Test (biology); Function (biology); Construct (python library); Computer science; Item bank; Computerized adaptive testing; Key (lock); Item response theory; Process (computing); Information retrieval; Data mining; Artificial intelligence; Statistics; Mathematics; Psychometrics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01194898,0.001936171,0.001246078,0.006823389,0.001721537,0.003569264,0.003393958,0.001283241,0.08965049],"category_scores_gemma":[0.07199529,0.0008049058,0.00161366,0.004534463,0.001240665,0.002410526,0.005165406,0.002754338,0.04115305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002520202,"about_ca_system_score_gemma":0.006785737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002948597,"about_ca_topic_score_gemma":0.002214252,"domain_scores_codex":[0.989445,0.003895426,0.001115767,0.001218262,0.003764364,0.000561062],"domain_scores_gemma":[0.9691751,0.008527422,0.001042551,0.005251363,0.01463289,0.001370598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004488837,0.0006838095,0.01354233,0.0009930201,0.00006922286,0.0005062842,0.00127297,0.002637778,0.003606924,0.03299836,0.1118177,0.8314227],"study_design_scores_gemma":[0.0005838384,0.002203108,0.03425905,0.002108502,0.0002915623,0.001680978,0.00267769,0.02020887,0.02603199,0.09182171,0.8178969,0.0002358223],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05872688,0.001243847,0.6118914,0.003199612,0.002377971,0.03762081,0.03440002,0.0147162,0.2358232],"genre_scores_gemma":[0.1652449,0.001122864,0.6504906,0.001984335,0.0005192148,0.03431191,0.06397043,0.004742291,0.07761337],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08965049,"threshold_uncertainty_score":0.2999107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1959902382496173,"score_gpt":0.4684073038429675,"score_spread":0.2724170655933502,"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."}}