{"id":"W2032923343","doi":"10.1016/j.nlm.2012.09.001","title":"Crossmodal object recognition in rats with and without multimodal object pre-exposure: No effect of hippocampal lesions","year":2012,"lang":"en","type":"article","venue":"Neurobiology of Learning and Memory","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"National Research Council Canada","keywords":"Crossmodal; Neuroscience; Psychology; Perirhinal cortex; Hippocampus; Object (grammar); Cognitive neuroscience of visual object recognition; Perception; Sensory system; Hippocampal formation; Cognition; Recognition memory; Visual perception; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005862632,0.000207748,0.0004236286,0.0001378277,0.000138309,0.000007860998,0.00008023125,0.0001451453,0.00002375856],"category_scores_gemma":[0.0008243966,0.0001551569,0.00003982922,0.0001360914,0.0004040609,0.0001560775,0.00006605916,0.0004775321,0.00000589659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005856097,"about_ca_system_score_gemma":0.00002328819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001176338,"about_ca_topic_score_gemma":0.000005892447,"domain_scores_codex":[0.9977144,0.001188491,0.0002668867,0.0003874317,0.00009919098,0.0003436063],"domain_scores_gemma":[0.9986733,0.0008699143,0.0002067309,0.0001241329,0.0000271116,0.00009878614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001220492,0.00005966826,0.1236607,0.000109091,0.000004049642,0.000003959901,0.0004678759,0.00002875132,0.8692658,0.000003076969,0.000001568759,0.005174995],"study_design_scores_gemma":[0.001630284,0.004186924,0.05566474,0.00009716929,0.00002759216,0.0001500384,0.00004929316,0.00009193799,0.9379231,0.00001077703,0.00001260048,0.0001555858],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998902,0.00008200017,0.000009425565,0.00001567646,0.0002648585,0.0003513423,0.000007558893,0.00003979756,0.0003273559],"genre_scores_gemma":[0.9994817,0.00008335546,0.0001276285,0.0000589416,0.00004918764,0.00001981113,0.000004423137,0.00001935656,0.0001555476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06865726,"threshold_uncertainty_score":0.6327115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02920481529177221,"score_gpt":0.2960058342733366,"score_spread":0.2668010189815644,"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."}}