{"id":"W2058759215","doi":"10.1080/09658210244000225","title":"Levels of processing, transfer-appropriate processing, and the concept of robust encoding","year":2002,"lang":"en","type":"review","venue":"Memory","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Psychology; Encoding (memory); Transfer (computing); Levels-of-processing effect; Simple (philosophy); Information processing; Relation (database); Cognitive psychology; Cognitive science; Cognition; Artificial intelligence; Computer science; Data mining; Epistemology; Neuroscience","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":[0.001141865,0.0007411636,0.00134319,0.00208895,0.000367147,0.001794641,0.001717211,0.001828184,0.002486569],"category_scores_gemma":[0.002056152,0.0003758855,0.0003882383,0.002489365,0.004238793,0.003639969,0.0008896642,0.002183442,0.001342461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001293426,"about_ca_system_score_gemma":0.001252583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001668148,"about_ca_topic_score_gemma":0.001542823,"domain_scores_codex":[0.9996189,0.0000921622,0.00004669907,0.00009906635,0.0001181747,0.00002491299],"domain_scores_gemma":[0.9990045,0.0006575137,0.0001449513,0.00004252831,0.0001240077,0.00002655006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000091108,0.00003594873,0.0004943689,0.0141393,0.0001112359,0.0004051823,0.0003889082,0.0007446422,0.002224506,0.1134776,0.009194126,0.8586931],"study_design_scores_gemma":[0.0000326694,0.0001761512,0.005452521,0.007325086,0.0001831204,0.007484075,0.0007011869,0.0004598671,0.002742894,0.2810501,0.6942864,0.0001058655],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003873972,0.9933214,0.001735092,0.0005611294,0.0001354905,0.00000603167,0.000009902938,0.000009411568,0.003834217],"genre_scores_gemma":[0.005532346,0.9913292,0.00145619,0.00042794,0.0002371516,0.00002284775,0.00001920137,0.000005181897,0.000969957],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002486569,"threshold_uncertainty_score":0.009384453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3148779158625118,"score_gpt":0.392294099101284,"score_spread":0.07741618323877214,"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."}}