{"id":"W3014608058","doi":"10.1101/2020.03.31.018952","title":"Chandelier cell anatomy and function reveal a variably distributed but common signal","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Eye Institute; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; Army Research Office; Interior Business Center; G. Harold and Leila Y. Mathers Foundation; Intelligence Advanced Research Projects Activity; National Institutes of Health","keywords":"Soma; Neuroscience; Inhibitory postsynaptic potential; Interneuron; Visual cortex; Neuron; Biology; Excitatory postsynaptic potential; Cell type; Population; Cell","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":[0.0002615821,0.000307624,0.0004533181,0.0006987819,0.0002783278,0.0007154458,0.0003613857,0.0004796055,0.0009945907],"category_scores_gemma":[0.0005146381,0.0001938624,0.0002060347,0.0002941276,0.0005273095,0.0004509103,0.0005840776,0.0006200014,0.0002392809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003524368,"about_ca_system_score_gemma":0.0002253287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001078375,"about_ca_topic_score_gemma":0.001511556,"domain_scores_codex":[0.9998145,0.00001122659,0.0000102798,0.00005708588,0.00005189922,0.00005522505],"domain_scores_gemma":[0.9996194,0.00008163993,0.00008938201,0.00006716632,0.00005254803,0.0000898202],"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":[0.00006973077,0.000009326554,0.004449638,0.0000227662,0.00001112364,0.0001118019,0.0000638408,0.0002416386,0.990326,0.0004407835,0.0000431031,0.004210149],"study_design_scores_gemma":[0.00002025731,0.00009025674,0.2336366,0.00002129266,0.00003233718,0.001655611,0.0002024762,0.00768455,0.7533011,0.001588538,0.001733658,0.00003325354],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856055,0.0003590807,0.0126848,0.00005119089,0.000008766869,0.000006418776,0.0001678632,0.0001459811,0.0009702356],"genre_scores_gemma":[0.9911309,0.0001165013,0.007452589,0.00002571448,0.000004945536,0.00001523591,0.0001324252,0.00005560747,0.001066133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001078375,"threshold_uncertainty_score":0.00332725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818910849281132,"score_gpt":0.2143300418103928,"score_spread":0.1961409333175814,"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."}}