{"id":"W2134212242","doi":"10.1186/1756-6606-3-9","title":"A quantitative proteomic analysis of long-term memory","year":2010,"lang":"en","type":"article","venue":"Molecular Brain","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"University of Oxford","keywords":"Psychopharmacology; Term (time); Neuroscience; Psychology; Cognitive science; Computational biology; Biology; Psychiatry; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002458551,0.0001288911,0.0002505163,0.0002798522,0.00005994052,0.00002037397,0.0003051943,0.0000690016,0.0003205326],"category_scores_gemma":[0.0009161955,0.0001174402,0.0001934303,0.0008463616,0.0001189086,0.00007689937,0.00006695584,0.0002162054,0.00004065345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005531444,"about_ca_system_score_gemma":0.00002540088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003578886,"about_ca_topic_score_gemma":0.00002104299,"domain_scores_codex":[0.9987429,0.0002085487,0.000211836,0.0003822654,0.0002535278,0.0002009271],"domain_scores_gemma":[0.9991645,0.00017102,0.0001300289,0.0004262587,0.0000282292,0.00007996985],"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":[0.0000326785,0.00005481164,0.0001266379,0.0000134054,0.00004066883,0.0001718129,0.0001416172,0.00003745978,0.9940671,0.004692567,0.00000988561,0.0006113297],"study_design_scores_gemma":[0.0001915883,0.0001143797,0.001866826,0.000006035041,0.0001085824,0.00001138349,0.000007372242,0.001126272,0.9959415,0.0004986765,5.052109e-7,0.0001268754],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935325,0.000005745325,0.0049256,0.0003462806,0.0001564219,0.0003232769,0.00001645516,0.00003969929,0.0006540151],"genre_scores_gemma":[0.99787,8.187764e-7,0.0007608869,0.001018606,0.00000913775,0.00002638092,0.000004015888,0.00001516765,0.000294968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004337513,"threshold_uncertainty_score":0.4789073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04873772682197217,"score_gpt":0.336513401832002,"score_spread":0.2877756750100298,"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."}}