{"id":"W1987627924","doi":"10.1007/s11063-006-9029-2","title":"Neuronal spatial learning","year":2006,"lang":"en","type":"article","venue":"Neural Processing Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Movement Disorders","funders":"","keywords":"Premovement neuronal activity; Neuroscience; Spatial learning; Context (archaeology); Biological neural network; Computer science; SIGNAL (programming language); Artificial intelligence; Cognition; Psychology; Biology","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":[0.00005703618,0.0001625675,0.0001175319,0.00007861169,0.0003940234,0.0002097026,0.0001615328,0.00003637188,0.00002979262],"category_scores_gemma":[0.00009949725,0.0001467797,0.00006094084,0.0002222778,0.0001050161,0.0003161175,0.00004467509,0.0003525699,0.00004211019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002588559,"about_ca_system_score_gemma":0.00001569204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007007777,"about_ca_topic_score_gemma":0.000007365615,"domain_scores_codex":[0.9986075,0.00008433768,0.0001913617,0.0004390594,0.0003171134,0.0003606675],"domain_scores_gemma":[0.9996584,0.00007602157,0.0001110557,0.0000921363,0.00001589715,0.00004647427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001984032,0.00001719585,0.000887501,0.00001376734,2.950985e-7,0.00003585415,0.00001899393,0.005951968,0.9600896,0.00008254942,0.0005518207,0.0323306],"study_design_scores_gemma":[0.001350098,0.0002882352,0.04635909,0.00006086901,0.00003035706,0.0003473659,0.00002255684,0.5605358,0.3635354,0.001162541,0.02516463,0.001143048],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898456,0.000008527489,0.002098026,0.005769067,0.0005151861,0.00008647329,0.000001363473,0.0002769005,0.001398896],"genre_scores_gemma":[0.991027,8.594345e-7,0.00005573433,0.007801276,0.0004995608,0.000006394378,0.000005782788,0.00002935345,0.000574071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5965542,"threshold_uncertainty_score":0.5985504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01529935077791449,"score_gpt":0.225030975072543,"score_spread":0.2097316242946285,"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."}}