{"id":"W4405219598","doi":"10.1021/acs.jproteome.4c00055","title":"Distinct Proteomic Brain States Underlying Long-Term Memory Formation in Aversive Operant Conditioning","year":2024,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Toronto; Canada Foundation for Innovation","keywords":"Operant conditioning; Neuroscience; Term (time); Conditioning; Long-term memory; Memory formation; Short-term memory; Psychology; Working memory; Reinforcement; Hippocampus; Physics; Cognition; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009464195,0.000231215,0.0001756456,0.0002615738,0.0001277164,0.0002292882,0.0001034492,0.0001896272,0.001095316],"category_scores_gemma":[0.00009100186,0.0001173019,0.0001669484,0.0001096035,0.0002530323,0.0002512381,0.0002112026,0.0003099432,0.0001546902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002130797,"about_ca_system_score_gemma":0.0001182036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003923521,"about_ca_topic_score_gemma":0.0005845761,"domain_scores_codex":[0.999953,0.000003204658,0.000002869571,0.00001452091,0.0000102839,0.00001608398],"domain_scores_gemma":[0.9999369,0.000003334842,0.00002809452,0.000003578808,0.000008456263,0.00001952656],"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":[0.0001699058,0.000008087431,0.0006071326,0.00001804821,0.00000494686,0.00002773266,0.00002230853,0.00001114588,0.9984994,0.00002982064,0.00001814584,0.0005833341],"study_design_scores_gemma":[0.00002200873,0.0005371931,0.4126295,0.00001555114,0.00003549484,0.0005529807,0.0001977284,0.0007531745,0.5840263,0.0003056135,0.0009076194,0.00001696737],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976604,0.00038968,0.001048972,0.00003886729,0.00000914558,0.000008295829,0.000347532,0.00003849453,0.0004585535],"genre_scores_gemma":[0.9967628,0.0002989779,0.001008343,0.00004842171,0.000005099349,0.00003243915,0.000567638,0.00001209759,0.001264289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001095316,"threshold_uncertainty_score":0.003664255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07508787897862744,"score_gpt":0.4179312672429416,"score_spread":0.3428433882643142,"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."}}