{"id":"W4393279565","doi":"10.1126/science.adk8261","title":"Selection of experience for memory by hippocampal sharp wave ripples","year":2024,"lang":"en","type":"article","venue":"Science","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; National Institutes of Health","keywords":"Memory consolidation; Hippocampal formation; Neuroscience; Computer science; Neurophysiology; Sleep (system call); Hippocampus; Psychology","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":[0.0001990083,0.0002187318,0.0002976328,0.0003623261,0.0001575115,0.0006144447,0.0003438129,0.0002282582,0.0008779273],"category_scores_gemma":[0.0005859268,0.0001450916,0.0003004353,0.0002259511,0.0003468232,0.0006313466,0.0005876721,0.0004412144,0.0002593723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001765828,"about_ca_system_score_gemma":0.0001710082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000328803,"about_ca_topic_score_gemma":0.0006134812,"domain_scores_codex":[0.9999006,0.00000784522,0.000006827926,0.00002587811,0.00002743955,0.00003151633],"domain_scores_gemma":[0.9997301,0.00003069004,0.00007907141,0.00006063853,0.00003832756,0.00006121235],"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":[0.0003549145,0.00003589788,0.009084745,0.00005467543,0.00004946359,0.0002237816,0.0001810155,0.0003749756,0.9553307,0.0006442055,0.0002527735,0.03341295],"study_design_scores_gemma":[0.00004262951,0.0008627316,0.4551287,0.00006511672,0.0001376397,0.001008416,0.0006117806,0.006595565,0.5287524,0.004295866,0.002427761,0.00007136833],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837234,0.0004004833,0.01408276,0.00006355563,0.00003144516,0.00001351338,0.0001696612,0.0001758644,0.001339342],"genre_scores_gemma":[0.9947526,0.0002169325,0.003584497,0.00004079105,0.00001355756,0.00001671737,0.0002154478,0.00002843726,0.001131002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008779273,"threshold_uncertainty_score":0.0029369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1098333944197801,"score_gpt":0.351484027192584,"score_spread":0.241650632772804,"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."}}