{"id":"W2893335237","doi":"10.5539/ass.v14n10p46","title":"Training Transfer: Does Training Design Preserve Training Memory?","year":2018,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Human Resource Development and Performance Evaluation","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Transfer of training; Test (biology); Transfer of learning; Working memory training; Computer science; Population; Transfer (computing); Psychology; Applied psychology; Medical education; Working memory; Artificial intelligence; Knowledge management; Medicine; Cognition","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004804553,0.0002693307,0.0003147115,0.0007528214,0.0005157092,0.002038806,0.0008219818,0.0008383476,0.004496971],"category_scores_gemma":[0.01644851,0.0001741127,0.000346035,0.0007557545,0.001390163,0.002673583,0.0009402901,0.0005726715,0.000337238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00122187,"about_ca_system_score_gemma":0.002068744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001647058,"about_ca_topic_score_gemma":0.002721676,"domain_scores_codex":[0.9975386,0.00124056,0.000129054,0.0001935094,0.0005575279,0.0003408709],"domain_scores_gemma":[0.9896138,0.006123621,0.002457538,0.0004797342,0.0007261206,0.0005991835],"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":[0.0007280275,0.002368719,0.4117601,0.001648119,0.0003125871,0.0005163754,0.01427195,0.001806988,0.004210489,0.01640603,0.00164637,0.5443243],"study_design_scores_gemma":[0.00005217593,0.001898668,0.9510326,0.0009677786,0.0002427525,0.0005023521,0.02212875,0.003135851,0.002256873,0.0113021,0.006432851,0.0000472742],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9696636,0.001586307,0.004147116,0.003396565,0.00005046789,0.0001311363,0.00006488832,0.00002333877,0.0209366],"genre_scores_gemma":[0.9976878,0.000344082,0.000874828,0.0001437861,0.00001664305,0.00003304773,0.00001430042,0.000003008937,0.0008824919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004804553,"threshold_uncertainty_score":0.02540922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1741428529173964,"score_gpt":0.3839216490518283,"score_spread":0.2097787961344319,"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."}}