{"id":"W2509400647","doi":"10.1098/rstb.2015.0356","title":"The roadmap for estimation of cell-type-specific neuronal activity from non-invasive measurements","year":2016,"lang":"en","type":"review","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Research Resources; National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; National Institute on Drug Abuse; Natural Sciences and Engineering Research Council of Canada; University of California, San Diego; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; National Institutes of Health; Central European Institute of Technology; National Institute of Mental Health; National Institute on Aging; International Headache Society; Deutsche Forschungsgemeinschaft; Norges Forskningsråd; Ministerstvo Školství, Mládeže a Tělovýchovy","keywords":"Estimation; Biology; Neuroscience; Computer science; Computational biology; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007024306,0.0003300185,0.0007039299,0.0000241346,0.001237281,0.00005271321,0.00132045,0.0003270755,0.0000386117],"category_scores_gemma":[0.0004598867,0.0001343191,0.001461222,0.0005660626,0.002508748,0.00009357466,0.00007416755,0.0004082409,0.000007017577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007948232,"about_ca_system_score_gemma":0.000175889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001296322,"about_ca_topic_score_gemma":0.00000105178,"domain_scores_codex":[0.9972413,0.0004464607,0.0005815588,0.0007222677,0.0006555536,0.000352854],"domain_scores_gemma":[0.9942988,0.00450763,0.0006617198,0.0003595878,0.00009179362,0.00008042411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002078641,0.0008974489,0.00001353053,0.001246577,0.000156484,3.227461e-7,0.00005935983,0.002472762,0.04394624,0.001966214,0.0002112229,0.948822],"study_design_scores_gemma":[0.004935687,0.01200037,0.0009870675,0.01555497,0.002963073,0.00002344704,0.0001333782,0.09709619,0.1969831,0.4202076,0.2433931,0.005722034],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03803706,0.7576255,0.1480353,0.01979562,0.01477573,0.01447159,0.00507859,0.0003314173,0.001849235],"genre_scores_gemma":[0.3071107,0.6919413,0.0004823202,0.00008005203,0.0001979789,0.0001062419,0.000005021553,0.00001578075,0.00006055022],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9430999,"threshold_uncertainty_score":0.9516287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1987265616380712,"score_gpt":0.3309759387133467,"score_spread":0.1322493770752755,"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."}}