{"id":"W3142994097","doi":"10.1037/xap0000345","title":"Pretesting versus posttesting: Comparing the pedagogical benefits of errorful generation and retrieval practice.","year":2021,"lang":"en","type":"article","venue":"Journal of Experimental Psychology Applied","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Computer science; Psychology; Information retrieval","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":[0.01614882,0.0007388347,0.0006714045,0.0007102496,0.0001683899,0.0006353977,0.001041631,0.001050943,0.003303116],"category_scores_gemma":[0.1340546,0.0002945584,0.000463972,0.0006186026,0.0008134569,0.001674635,0.0007971104,0.0008455096,0.0006880803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002754211,"about_ca_system_score_gemma":0.0003822589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002569283,"about_ca_topic_score_gemma":0.0005118562,"domain_scores_codex":[0.9847047,0.009680057,0.001471188,0.001254056,0.002636024,0.0002538878],"domain_scores_gemma":[0.7357531,0.2337829,0.01613522,0.008466826,0.0040921,0.001769793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.07274333,0.02186196,0.09587979,0.003290403,0.001235989,0.0002404184,0.0034799,0.001274844,0.0923507,0.0009733099,0.00239309,0.7042761],"study_design_scores_gemma":[0.002541164,0.1700369,0.6920369,0.0003770918,0.0009400509,0.0003992384,0.0006191973,0.006106164,0.1219947,0.001297315,0.003501461,0.0001497966],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755611,0.001021836,0.01465603,0.0001599708,0.0001579706,0.001577802,0.0003981879,0.000283654,0.006183545],"genre_scores_gemma":[0.9726828,0.000491292,0.02098939,0.000232027,0.0001097723,0.002454074,0.0005154161,0.00007639596,0.002448793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01614882,"threshold_uncertainty_score":0.08540416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.556907790483077,"score_gpt":0.5458725198578648,"score_spread":0.01103527062521226,"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."}}