{"id":"W2948214676","doi":"10.1002/9781118784235.eelt0321","title":"Preparing Students to Take Tests","year":2018,"lang":"en","type":"other","venue":"The TESOL Encyclopedia of English Language Teaching","topic":"Student Assessment and Feedback","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Test (biology); Context (archaeology); Mathematics education; Test preparation; Academic achievement; Student achievement; Psychology; Achievement test; Scale (ratio); Empirical research; Teacher preparation; Pedagogy; Medical education; Standardized test; Teacher education; Engineering; Medicine; Mathematics","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020743,0.0003465918,0.0004635765,0.0002419591,0.0003708308,0.0001460221,0.002098788,0.0002561198,0.002295478],"category_scores_gemma":[0.003540588,0.0002718761,0.0001426482,0.0002774499,0.0002262077,0.0001096748,0.0005522883,0.000467659,0.0002860295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001032734,"about_ca_system_score_gemma":0.0001067524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00658002,"about_ca_topic_score_gemma":0.00896974,"domain_scores_codex":[0.9969308,0.0004428946,0.0003672953,0.0004479905,0.001226396,0.0005845819],"domain_scores_gemma":[0.9982677,0.0003856559,0.0003568557,0.0007217886,0.00009632983,0.0001716639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009026627,0.0001330676,0.01350776,0.00003622297,0.0001331397,0.000005092937,0.4208837,7.179947e-7,0.00001085277,0.0006160467,0.5580385,0.006625906],"study_design_scores_gemma":[0.0002336774,0.00005500098,0.0009228242,0.0003124951,0.00009685014,1.241755e-7,0.04695583,6.947461e-7,0.00000286534,0.00002080993,0.9510539,0.0003449437],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01905332,0.0004363768,0.00002682244,0.00003836698,0.002181925,0.001015585,0.00001776872,0.0005580138,0.9766718],"genre_scores_gemma":[0.03802498,0.0002320806,0.001927938,0.0001485194,0.01068856,0.0000683793,0.00001887278,0.0003499416,0.9485407],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3930154,"threshold_uncertainty_score":0.9999734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141552204249359,"score_gpt":0.3398900492085596,"score_spread":0.3284745271660661,"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."}}