{"id":"W6892651361","doi":"10.5281/zenodo.10819264","title":"Hippocampal CA1 VIP interneurons detect novelty in the environment and support recognition memory","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre hospitalier de l'Université Laval","funders":"","keywords":"Normalization (sociology); Cognitive neuroscience of visual object recognition; Novelty; Object (grammar); Hippocampal formation; Visualization; Pattern recognition (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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000793887,0.0001844581,0.0001490349,0.0004320628,0.0004179325,0.0006045148,0.001359236,0.0001170057,0.003558973],"category_scores_gemma":[0.0002152811,0.0001723203,0.00003775752,0.0004339014,0.0001274785,0.0001987681,0.0008977099,0.0003439602,0.008331502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001471049,"about_ca_system_score_gemma":0.000004810563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004018341,"about_ca_topic_score_gemma":0.00000764234,"domain_scores_codex":[0.9979062,0.0005090201,0.0002567563,0.0006001555,0.0004568335,0.0002710331],"domain_scores_gemma":[0.9989628,0.00006236147,0.000183519,0.0006484318,0.00005832623,0.00008457743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001493672,0.0001357708,0.000005298464,0.00009045071,0.00004006134,0.00005213316,0.002143907,0.00004788226,0.001137219,0.001882046,0.3395267,0.6549236],"study_design_scores_gemma":[0.0003859003,0.0001680605,0.002523229,0.0000782834,0.00001137467,0.0000792553,0.0001154358,0.002370422,0.00009274245,0.0003905143,0.9935076,0.0002771761],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002835223,0.0002082485,0.192786,0.004479983,0.0007885652,0.003524277,0.0006852797,0.006586396,0.788106],"genre_scores_gemma":[0.838473,0.0017692,0.004852579,0.001452981,0.001133688,0.000004110825,0.004794551,0.02835209,0.1191678],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8356378,"threshold_uncertainty_score":0.9973519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05337263119488942,"score_gpt":0.2386891544286467,"score_spread":0.1853165232337573,"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."}}