{"id":"W2075893118","doi":"10.1002/cne.21821","title":"Rhinal and dorsolateral prefrontal cortex lesions produce selective impairments in object and spatial learning and memory in canines","year":2008,"lang":"en","type":"article","venue":"The Journal of Comparative Neurology","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada; National Institute on Aging; National Institutes of Health; National Institute for Health and Care Research","keywords":"Neuroscience; Prefrontal cortex; Dorsolateral prefrontal cortex; Psychology; Working memory; Recognition memory; Temporal lobe; Spatial memory; Short-term memory; Frontal lobe; Cognitive neuroscience of visual object recognition; Stimulus (psychology); Cognitive psychology; Cognition; Object (grammar); Artificial intelligence; Computer science","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":[0.000174411,0.0001046124,0.0002259247,0.00007312925,0.000105364,0.000005763809,0.00004750857,0.00004014635,0.000002654916],"category_scores_gemma":[0.00004228618,0.00007444826,0.00001545226,0.00003878102,0.00021682,0.00001143201,0.00008942778,0.0003453245,2.818034e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008142744,"about_ca_system_score_gemma":0.00003524696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001439192,"about_ca_topic_score_gemma":0.002448414,"domain_scores_codex":[0.9990721,0.0003939452,0.000217389,0.0001344393,0.00005794169,0.0001241347],"domain_scores_gemma":[0.9996583,0.00005251249,0.0001541103,0.0000361126,0.00006762377,0.0000312661],"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":[0.004020745,0.0001000667,0.4880514,0.000006577625,0.00008556552,0.0001136538,0.009370734,0.0001971485,0.4977029,0.000001399926,0.0001891938,0.0001605616],"study_design_scores_gemma":[0.000952349,0.003087131,0.9849223,0.000008701913,0.00001287294,0.003552333,0.0005548468,0.0002215587,0.0064621,0.00001734107,0.0001385571,0.00006985771],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986496,0.0008650915,0.00001561642,0.0002048029,0.00005798338,0.0001109389,8.889956e-7,0.000001307639,0.00009378361],"genre_scores_gemma":[0.9994147,0.0003417851,0.00001471017,0.00008696913,0.00007435934,0.000002684161,6.187386e-7,0.000004994356,0.00005912398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4968709,"threshold_uncertainty_score":0.3035912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02031327545672519,"score_gpt":0.3269093472182282,"score_spread":0.3065960717615031,"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."}}