{"id":"W2346313217","doi":"10.1080/09658211.2016.1178777","title":"Individual differences in visual imagery determine how event information is remembered","year":2016,"lang":"en","type":"article","venue":"Memory","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital; University of Toronto; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Mental image; Psychology; Cognitive psychology; Event (particle physics); Object (grammar); Feature (linguistics); Visual memory; Cognition; Artificial intelligence; Computer science; Neuroscience","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":[0.0004335949,0.0002252288,0.0002035901,0.0004594826,0.0001240954,0.0007651818,0.0001809152,0.0002366853,0.001839672],"category_scores_gemma":[0.004922865,0.0001359728,0.0001618764,0.0002402112,0.0004468271,0.0006008925,0.0004078151,0.0002330556,0.0002416414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001260175,"about_ca_system_score_gemma":0.0001061054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006411142,"about_ca_topic_score_gemma":0.0009914006,"domain_scores_codex":[0.9997442,0.00005953087,0.00002538964,0.00007957993,0.00006214316,0.00002915626],"domain_scores_gemma":[0.9985716,0.0007386484,0.0003363827,0.0001679129,0.00009540911,0.00009001335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002327499,0.0005389409,0.3771153,0.0005135977,0.0005668218,0.0004119511,0.006533409,0.0009624743,0.3752031,0.001601401,0.0008098321,0.2334157],"study_design_scores_gemma":[0.0000173671,0.0007330806,0.9748228,0.00004228002,0.00007858718,0.0005702134,0.001274688,0.0007932688,0.0186898,0.001871197,0.001080278,0.00002650804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951001,0.0004883971,0.00149212,0.00003523579,0.000009519295,0.00001320779,0.00005626224,0.00001280141,0.002792408],"genre_scores_gemma":[0.9980273,0.0003114758,0.001093848,0.0000145406,0.000004672534,0.000007847015,0.00008423391,0.000007980337,0.0004482339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001839672,"threshold_uncertainty_score":0.006154299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04676819334510485,"score_gpt":0.2811830996550769,"score_spread":0.234414906309972,"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."}}