{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003744325,0.000204439,0.0002490715,0.0002293445,0.001757967,0.0001721913,0.0006956912,0.0001405999,0.003534764],"category_scores_gemma":[0.0001106788,0.0001741279,0.00007987268,0.0009241283,0.001404386,0.0005107636,0.00003427863,0.0002434132,0.0002706849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009610251,"about_ca_system_score_gemma":0.0004906695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001648259,"about_ca_topic_score_gemma":0.00004550807,"domain_scores_codex":[0.9971532,0.0002160462,0.0003532026,0.0005757021,0.0007496539,0.0009521559],"domain_scores_gemma":[0.9993309,0.00008444201,0.00007975257,0.0001955118,0.0001347225,0.0001746571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002691314,0.0000111847,0.00007751407,0.000002069023,0.00001244091,0.000002979014,0.502418,5.222768e-7,0.001248713,0.002803664,0.0001912098,0.4932048],"study_design_scores_gemma":[0.003095925,0.0008682684,0.2933059,0.0001264501,0.00009443826,0.000038653,0.6526406,0.0008815819,0.004227216,0.009110115,0.03392359,0.001687205],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3635638,0.00001295924,0.006994165,0.0006030628,0.001140881,0.0003676378,0.000004028605,0.0001600047,0.6271535],"genre_scores_gemma":[0.9946759,8.974787e-7,0.001489424,0.0003150296,0.001464924,0.00006033939,0.000004668337,0.000023649,0.001965175],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6311121,"threshold_uncertainty_score":0.9995416,"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."}}