{"id":"W2416363428","doi":"10.1037/xlm0000167","title":"The spatial scaffold: The effects of spatial context on memory for events.","year":2015,"lang":"en","type":"article","venue":"Journal of Experimental Psychology Learning Memory and Cognition","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":119,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Spatial contextual awareness; Context (archaeology); Recall; Cognitive psychology; Episodic memory; Psychology; Encoding (memory); Context effect; Spatial ability; Event (particle physics); Spatial analysis; Context-dependent memory; Cognition; Computer science; Neuroscience; Free recall; Word (group theory); Artificial intelligence; History; Linguistics; Geography","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":[0.0008290933,0.0003947146,0.0003328904,0.0003432193,0.0002484609,0.0008611128,0.0006970802,0.0005911895,0.003876322],"category_scores_gemma":[0.01161645,0.000313151,0.0002687679,0.0002144781,0.0006766958,0.00221973,0.001448676,0.0005882986,0.0002997586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002203967,"about_ca_system_score_gemma":0.0003210139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006241079,"about_ca_topic_score_gemma":0.001020308,"domain_scores_codex":[0.9994948,0.0001473183,0.00005158532,0.000141528,0.000122426,0.00004226887],"domain_scores_gemma":[0.9940253,0.003411195,0.001099706,0.0008775441,0.0002046715,0.0003816483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01644289,0.001289761,0.03328013,0.001923657,0.0003549166,0.0009621815,0.006352885,0.001201713,0.7738919,0.004067012,0.00132784,0.158905],"study_design_scores_gemma":[0.001105914,0.02360773,0.635001,0.0007138278,0.001568965,0.003874111,0.004600026,0.008520317,0.2748779,0.02957584,0.01623311,0.0003213144],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900571,0.001092084,0.003254365,0.000145996,0.0000686283,0.00006496915,0.0001658479,0.00006394244,0.005087169],"genre_scores_gemma":[0.9955972,0.000381253,0.002995013,0.00007175162,0.00002254765,0.00007146984,0.0001323437,0.00002682512,0.0007016131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003876322,"threshold_uncertainty_score":0.01296759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0753428862751519,"score_gpt":0.3628889088477914,"score_spread":0.2875460225726395,"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."}}