{"id":"W2081873817","doi":"10.1002/hipo.20411","title":"Partially segregated neural networks for spatial and contextual memory in virtual navigation","year":2008,"lang":"en","type":"article","venue":"Hippocampus","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Spatial memory; Landmark; Spatial contextual awareness; Cognitive map; Dissociation (chemistry); Computer science; Cognition; Context (archaeology); Spatial cognition; Neuroscience; Psychology; Cognitive psychology; Artificial intelligence; Working memory; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002030276,0.0001570339,0.0001908119,0.0002438415,0.0001028839,0.0004275312,0.0002079396,0.000201713,0.0007640069],"category_scores_gemma":[0.0005140393,0.0001953844,0.0001232146,0.0001062004,0.0007128756,0.0004827425,0.0003669516,0.0002202791,0.00006238757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001521775,"about_ca_system_score_gemma":0.0001804372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006279306,"about_ca_topic_score_gemma":0.001327315,"domain_scores_codex":[0.9999397,0.00001309703,0.000002426605,0.00001897688,0.00001184836,0.00001400516],"domain_scores_gemma":[0.9998537,0.00004255051,0.00003922344,0.00002828645,0.00001239556,0.00002381744],"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":[0.001556055,0.0001474064,0.04104832,0.0001764323,0.0001765537,0.0003160914,0.0009720718,0.004293484,0.8787313,0.002977225,0.0001985247,0.06940661],"study_design_scores_gemma":[0.0001169112,0.0008203311,0.9065672,0.00003249613,0.0001652901,0.001185141,0.00061489,0.01478919,0.0641785,0.01069324,0.0007908534,0.0000459008],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954856,0.0001340752,0.003892144,0.00002412673,0.000002042241,0.000004674099,0.00002012087,0.00001100464,0.0004262227],"genre_scores_gemma":[0.9985662,0.00006169336,0.001102351,0.000008146129,0.000001631359,0.000008337362,0.0000394308,0.000002693152,0.0002094966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007640069,"threshold_uncertainty_score":0.002555847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05570713813806305,"score_gpt":0.2812032335405075,"score_spread":0.2254960954024445,"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."}}