{"id":"W4386874394","doi":"10.7554/elife.89369.1","title":"A cortical information bottleneck during decision-making","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; Natural Sciences and Engineering Research Council of Canada; Hellman Foundation; National Science Foundation; National Institutes of Health; Nvidia","keywords":"Bottleneck; Computer science; Information bottleneck method; Artificial intelligence; Embedded system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001052946,0.0002993171,0.0004694783,0.000287486,0.0002979729,0.001251085,0.0006152795,0.0004752924,0.002528963],"category_scores_gemma":[0.006161071,0.0003988477,0.0003233767,0.0002819115,0.0007141294,0.001884929,0.0009111441,0.001085365,0.0003044786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008545072,"about_ca_system_score_gemma":0.0007826855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001579565,"about_ca_topic_score_gemma":0.0008336714,"domain_scores_codex":[0.9994893,0.0001132429,0.00003748799,0.0001468923,0.0001144928,0.00009847643],"domain_scores_gemma":[0.9982147,0.0007884837,0.000306318,0.0002353657,0.0002091608,0.0002459406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00126277,0.0003037133,0.01370814,0.0004564058,0.000227133,0.0006673491,0.001145496,0.06677703,0.7712133,0.05303545,0.002444532,0.08875871],"study_design_scores_gemma":[0.0001292882,0.0004154969,0.05294099,0.00008271638,0.0001152485,0.0004060609,0.00034335,0.681885,0.1433125,0.1172757,0.003017676,0.00007590554],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8964726,0.0004259097,0.09353203,0.0007668927,0.00007504522,0.00004301896,0.0001551834,0.0005225465,0.008006782],"genre_scores_gemma":[0.9938898,0.00004718389,0.005486788,0.00003689979,0.000009019255,0.00001199164,0.00004108496,0.00003290893,0.0004443358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002528963,"threshold_uncertainty_score":0.008460224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1786867041725202,"score_gpt":0.4166680227020969,"score_spread":0.2379813185295767,"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."}}