{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001758208,0.00017981,0.0002186761,0.00006368646,0.0002411543,0.00002773989,0.0001370296,0.000119855,0.00002694838],"category_scores_gemma":[0.0002855206,0.0001702947,0.00004809979,0.000167589,0.0001615164,0.0002309491,0.00004848795,0.0002150005,0.000009310879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001951453,"about_ca_system_score_gemma":0.00002781662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001566639,"about_ca_topic_score_gemma":0.00005708108,"domain_scores_codex":[0.9985281,0.0001904628,0.0002911685,0.00045293,0.0001728161,0.0003645517],"domain_scores_gemma":[0.9992096,0.0003874174,0.0000971279,0.0001587466,0.00002593587,0.0001211673],"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":[0.001768181,0.0002147088,0.0008760914,0.00003871337,0.000006750412,0.000691438,0.001632196,0.01240462,0.8162121,0.002087685,0.0003679321,0.1636996],"study_design_scores_gemma":[0.002723353,0.000810982,0.001020052,0.00003403004,0.00001014114,0.00032743,0.0000730633,0.4768983,0.5162493,0.001443751,0.00007052188,0.0003390657],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931754,0.00004152847,0.005067095,0.0001452697,0.0008166904,0.0005748717,0.00001073466,0.00008918167,0.00007926548],"genre_scores_gemma":[0.9984476,0.00002053954,0.0000457172,0.0009938012,0.0001933779,0.00006417825,0.00001238401,0.00002176345,0.000200653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4644937,"threshold_uncertainty_score":0.6944416,"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."}}