{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005641502,0.0001863267,0.0003595952,0.0002525888,0.0003877647,0.001013861,0.0007580479,0.0005553865,0.0008125926],"category_scores_gemma":[0.003850307,0.00033138,0.0002739055,0.0001898278,0.001480196,0.001435828,0.001183221,0.001139099,0.0001433401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005592489,"about_ca_system_score_gemma":0.0002265359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004019599,"about_ca_topic_score_gemma":0.0004434414,"domain_scores_codex":[0.9996019,0.00007328406,0.00003385098,0.00009261289,0.0001283448,0.00007000221],"domain_scores_gemma":[0.9975616,0.001195578,0.0002329335,0.0005472919,0.0002425426,0.0002199463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003096527,0.00007066075,0.007461616,0.0001108435,0.00004869809,0.000471485,0.0002848158,0.02067071,0.9223701,0.0276772,0.0001692161,0.02035496],"study_design_scores_gemma":[0.00006151223,0.0004372247,0.06736434,0.00005344898,0.000114906,0.001440253,0.0003249683,0.4676491,0.3427498,0.1178311,0.001887796,0.00008550478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9328964,0.0004775192,0.06350085,0.0003097587,0.00003499569,0.000009616539,0.00003488306,0.00012506,0.002610923],"genre_scores_gemma":[0.9960145,0.00004888792,0.003650252,0.00004085662,0.00000717525,0.000003814462,0.000008633619,0.00001213471,0.0002138687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001013861,"threshold_uncertainty_score":0.004057705,"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."}}