{"id":"W4382652015","doi":"10.1101/2023.06.29.547097","title":"Cellular Substrate of Eligibility Traces","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; University of Ottawa","keywords":"Hebbian theory; Neuroscience; Synaptic plasticity; Postsynaptic potential; Long-term potentiation; Computer science; Calcium imaging; Metaplasticity; Neural substrate; Associative learning; Engram; Artificial intelligence; Psychology; Artificial neural network; Chemistry; Calcium","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001234605,0.0005549037,0.0007217186,0.0005074879,0.0002628261,0.0001769796,0.001858909,0.0004254459,0.00006624183],"category_scores_gemma":[0.001459168,0.000569053,0.0002593436,0.001466146,0.0009627708,0.0002369515,0.001097194,0.001507263,0.0003210941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008889406,"about_ca_system_score_gemma":0.0008048122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002951987,"about_ca_topic_score_gemma":9.774735e-7,"domain_scores_codex":[0.9944603,0.0006642067,0.0007957669,0.002103258,0.0009945943,0.0009818646],"domain_scores_gemma":[0.9966148,0.0005414748,0.0005175144,0.001664717,0.0002874749,0.0003740011],"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":[0.00004894058,0.0002213307,0.003026576,0.0003679802,0.0000112963,0.000439284,0.000005928619,0.00007388198,0.9953675,0.000231663,0.0002051738,4.269903e-7],"study_design_scores_gemma":[0.0002962029,0.00009726118,0.015626,0.00008418706,0.00003803386,1.890819e-8,0.00000104544,0.0004409547,0.9825792,0.00001136377,0.0003789596,0.0004467699],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953586,0.0001442414,0.00006373465,0.0003506356,0.002278558,0.0008983792,0.0003255226,0.0005703906,0.00000989364],"genre_scores_gemma":[0.9984029,0.0007619333,0.00006055908,0.0002596274,0.0002071696,0.0001434746,2.546458e-8,0.0001314015,0.00003292194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01278832,"threshold_uncertainty_score":0.9996761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07232368468134723,"score_gpt":0.3196328409646543,"score_spread":0.247309156283307,"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."}}