{"id":"W2953452995","doi":"10.1016/j.cognition.2019.04.024","title":"Drawing improves memory: The importance of multimodal encoding context","year":2019,"lang":"en","type":"article","venue":"Cognition","topic":"Visual and Cognitive Learning Processes","field":"Psychology","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mnemonic; Encoding (memory); Psychology; Cognitive psychology; Cognition; Modalities; Context (archaeology); Cognitive science; Stimulus modality; Episodic memory; Human memory; Everyday life; Sensory memory; Context-dependent memory; Recall; Working memory; Sensory system; Neuroscience; Free recall","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002691379,0.0008449816,0.000412759,0.0003076803,0.0001464983,0.001264406,0.0009324921,0.0007569568,0.01547285],"category_scores_gemma":[0.002702969,0.0002353561,0.0002256768,0.0002700769,0.0004050794,0.001827477,0.0005781772,0.001068019,0.0008304046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001579692,"about_ca_system_score_gemma":0.000264093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005808226,"about_ca_topic_score_gemma":0.0007052728,"domain_scores_codex":[0.9997448,0.00005314933,0.00001852187,0.00007903384,0.00007684938,0.00002758051],"domain_scores_gemma":[0.999116,0.0003580101,0.0001662043,0.0002228352,0.00004348705,0.00009348787],"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":[0.01086085,0.003606589,0.004009027,0.001035031,0.0003480757,0.0003554792,0.000568856,0.002325467,0.362364,0.004435753,0.005379265,0.6047117],"study_design_scores_gemma":[0.006705937,0.03332912,0.284353,0.001100671,0.003348903,0.003085473,0.002236523,0.03729147,0.4284086,0.1493935,0.05028671,0.0004601542],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9520413,0.002710074,0.01916781,0.001055187,0.0006597933,0.0001376667,0.000389081,0.000642307,0.02319677],"genre_scores_gemma":[0.9826109,0.001305358,0.008061278,0.000312092,0.0001941888,0.00005907632,0.0002210925,0.0001501598,0.00708576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01547285,"threshold_uncertainty_score":0.05176187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02819320610814062,"score_gpt":0.3230363990597857,"score_spread":0.294843192951645,"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."}}