{"id":"W2797585562","doi":"10.1038/nm.4532","title":"A molecular mechanism governing memory precision","year":2018,"lang":"en","type":"letter","venue":"Nature Medicine","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Mechanism (biology); Dementia; Neuroscience; Key (lock); Computer science; Psychology; Medicine; Computational biology; Biology; Disease; Computer security; Physics; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001015391,0.0004264265,0.0005000284,0.0003146545,0.001273072,0.001626232,0.0009912277,0.01202612,0.006964857],"category_scores_gemma":[0.005319968,0.0001903509,0.0004111516,0.000165239,0.003178514,0.002790985,0.001246188,0.01087153,0.002703487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001115338,"about_ca_system_score_gemma":0.0008936529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003397848,"about_ca_topic_score_gemma":0.0005117516,"domain_scores_codex":[0.9996262,0.00006548272,0.00003935276,0.0000630378,0.0001241485,0.00008177654],"domain_scores_gemma":[0.9986964,0.0006887853,0.0001178472,0.0001592382,0.0002071509,0.0001306347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006562884,0.0001654796,0.001041054,0.0003326474,0.00004355823,0.006879024,0.000266589,0.0005287132,0.008477826,0.154809,0.7202569,0.1065429],"study_design_scores_gemma":[0.0004009466,0.0002153462,0.0009809819,0.0002081157,0.00004230119,0.004561082,0.0002484303,0.002570855,0.0098301,0.3256074,0.655275,0.00005943641],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.007261058,0.01363742,0.002802489,0.9180039,0.0410414,0.00002317259,0.000127848,0.0001693353,0.01693344],"genre_scores_gemma":[0.312686,0.02390895,0.005946543,0.4694531,0.13575,0.0003103004,0.0002261804,0.00009958281,0.05161954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01202612,"threshold_uncertainty_score":0.02329981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03900689516640696,"score_gpt":0.3131887285813715,"score_spread":0.2741818334149645,"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."}}