{"id":"W2047148152","doi":"10.1126/science.1139438","title":"Neuronal Competition and Selection During Memory Formation","year":2007,"lang":"en","type":"article","venue":"Science","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":683,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Aging","keywords":"CREB; Neuroscience; Amygdala; Biological neural network; Engram; Neuronal circuits; Cyclic adenosine monophosphate; Basolateral amygdala; Premovement neuronal activity; Competition (biology); Psychology; Neuron; Adenosine; Biology; Neuronal memory allocation; Function (biology); Cell biology; Receptor; Endocrinology; Gene; Genetics; Transcription factor","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":[0.000802101,0.0000759349,0.00005723666,0.0003410787,0.0009961462,0.0001102909,0.0002737003,0.00001961231,0.00003020419],"category_scores_gemma":[0.0003764548,0.00007114677,0.0000137377,0.001282442,0.001069461,0.001334574,0.0001341337,0.0001932723,0.00004903422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004774196,"about_ca_system_score_gemma":0.00005987338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001425549,"about_ca_topic_score_gemma":0.00000285067,"domain_scores_codex":[0.9983151,0.00005608058,0.0001369448,0.000446003,0.0005766164,0.0004692317],"domain_scores_gemma":[0.9995519,0.0001206886,0.00004838638,0.00007477667,0.00004901582,0.0001552282],"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":[0.00002480292,0.00001865378,0.0003931405,0.00000635064,5.099668e-8,0.00001609794,0.00006834717,0.00001125368,0.9977093,0.0005060947,0.000004775391,0.001241127],"study_design_scores_gemma":[0.0001883567,0.0000770335,0.05696242,0.000003157095,9.274526e-7,0.0002764777,0.00002195576,0.001452404,0.9406819,0.0001052275,0.0001624932,0.0000676941],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974758,0.000004522115,0.0003218972,0.0002230398,0.000266524,0.0001527572,9.078258e-7,0.000077706,0.001476833],"genre_scores_gemma":[0.9989839,0.00003337031,0.0000272654,0.0006645411,0.00005242765,0.000003581954,4.386847e-8,0.000004818772,0.0002300794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05702745,"threshold_uncertainty_score":0.7661653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03834270360599448,"score_gpt":0.3421619622214503,"score_spread":0.3038192586154559,"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."}}