{"id":"W2034773786","doi":"10.1007/s10459-014-9529-1","title":"The benefits of testing for learning on later performance","year":2014,"lang":"en","type":"article","venue":"Advances in Health Sciences Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Université de Sherbrooke; McMaster University","funders":"","keywords":"Licensure; Context (archaeology); Multiple choice; Test (biology); Educational measurement; Item response theory; Medical education; Medicine; Psychology; Psychometrics; Pedagogy; Curriculum; Internal medicine; Clinical psychology; Significant difference","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":[0.006442777,0.000867061,0.0006098308,0.001081096,0.0009904084,0.0024128,0.001449908,0.002489048,0.01630773],"category_scores_gemma":[0.06995238,0.0002197802,0.001280924,0.0007893329,0.001880983,0.004195451,0.002126305,0.001788137,0.00245674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008448327,"about_ca_system_score_gemma":0.002002429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003961047,"about_ca_topic_score_gemma":0.00402349,"domain_scores_codex":[0.9947062,0.002173304,0.0003618812,0.0004296669,0.001827204,0.0005017623],"domain_scores_gemma":[0.9158165,0.06022043,0.005079632,0.005745123,0.005606314,0.007531986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.008588285,0.01118004,0.2807369,0.0005026675,0.0003276179,0.001007726,0.001034939,0.002586911,0.004719747,0.01005289,0.007771058,0.6714912],"study_design_scores_gemma":[0.0006941432,0.01573041,0.8759802,0.0009494479,0.001105268,0.002164221,0.002290129,0.007572394,0.01248647,0.06674838,0.01401209,0.000266916],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9331293,0.003474202,0.003339706,0.01275623,0.0007200118,0.0000953661,0.0005941109,0.0002456939,0.04564535],"genre_scores_gemma":[0.9904382,0.001028862,0.002628021,0.0004632884,0.0002766936,0.00004534681,0.0002166482,0.00004230215,0.004860856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01630773,"threshold_uncertainty_score":0.05455482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02957695616139692,"score_gpt":0.4068746599440601,"score_spread":0.3772977037826631,"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."}}