{"id":"W2012880872","doi":"10.1037/a0015937","title":"Ventromedial prefrontal damage and memory for context: Perceptual versus semantic features.","year":2009,"lang":"en","type":"article","venue":"Neuropsychology","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Baycrest Hospital","funders":"","keywords":"Confabulation (neural networks); Psychology; Ventromedial prefrontal cortex; Semantic memory; Cognitive psychology; Context (archaeology); Episodic memory; Prefrontal cortex; Perception; Cognition; Semantic feature; Explicit memory; Neuroscience; Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00007986184,0.0001683384,0.0002076442,0.00006813627,0.0001648982,0.00004879768,0.0002760077,0.00009664531,0.0001068278],"category_scores_gemma":[0.0004637727,0.000149468,0.00005352024,0.00009955544,0.0002760575,0.000176752,0.00003247698,0.0002107193,0.00003634919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008351918,"about_ca_system_score_gemma":0.00002011641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002781294,"about_ca_topic_score_gemma":0.000007481654,"domain_scores_codex":[0.998614,0.00009146571,0.000183411,0.0006074257,0.0001419129,0.0003617638],"domain_scores_gemma":[0.9992893,0.0002480309,0.0000764701,0.0002455968,0.00002507087,0.0001155209],"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":[0.002078318,0.000178212,0.00004072496,0.00002755246,0.000005060621,0.0001210247,0.0010787,0.000004633124,0.9154916,0.003262115,0.005664313,0.07204774],"study_design_scores_gemma":[0.03405734,0.02660345,0.6703504,0.00007195156,0.0002033925,0.001941654,0.001922259,0.0007867455,0.1024204,0.005523616,0.1540741,0.002044731],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908704,0.0001299739,0.00003852576,0.002217728,0.001933509,0.0003534387,0.000019101,0.00007494387,0.00436244],"genre_scores_gemma":[0.9897465,0.00006925369,0.00007452747,0.009190578,0.0003174028,0.00001506337,0.000003105106,0.00001512789,0.0005685171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8130713,"threshold_uncertainty_score":0.6095129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0411879677154681,"score_gpt":0.3187685266564309,"score_spread":0.2775805589409628,"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."}}