{"id":"W3100682276","doi":"10.1101/134379","title":"The role of untuned neurons in sensory information coding","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Canadian Institute for Advanced Research","keywords":"Neural coding; Stimulus (psychology); Population; Sensory system; Neuroscience; Coding (social sciences); Psychology; Communication; Cognitive psychology; Mathematics; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005162122,0.0002826156,0.0002956278,0.0002183302,0.0003815388,0.0003647975,0.0007337818,0.0002341394,0.000004089866],"category_scores_gemma":[0.001516321,0.0002449502,0.0001025747,0.0002139224,0.0001879384,0.0004332351,0.0004834355,0.0006860247,0.00002866794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001116652,"about_ca_system_score_gemma":0.0002367571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006235533,"about_ca_topic_score_gemma":0.000006528704,"domain_scores_codex":[0.9981359,0.0001733862,0.0005278751,0.0004306245,0.0003623031,0.0003699494],"domain_scores_gemma":[0.9975901,0.0002501236,0.0007744809,0.001138847,0.0001613207,0.00008513129],"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":[0.00003574029,0.00002779329,0.001569467,0.00007690584,0.000005676327,0.000007571011,0.000009510497,0.0001940432,0.9919152,0.006107362,0.00002047967,0.00003026802],"study_design_scores_gemma":[0.0003685527,0.00004488306,0.0639192,0.0002196052,0.00002225592,2.634313e-8,0.00000590222,0.0195554,0.9048992,0.00006064263,0.0104701,0.0004342099],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968018,0.00008831847,0.0001097044,0.0003331264,0.001668221,0.0005988615,0.0001446318,0.000117774,0.0001375789],"genre_scores_gemma":[0.9992064,0.0003918914,0.00006330854,0.000150946,0.00009295902,0.00005505798,1.150703e-7,0.00003297553,0.000006352835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08701597,"threshold_uncertainty_score":0.9988779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01846719045184009,"score_gpt":0.2229751665667393,"score_spread":0.2045079761148992,"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."}}