{"id":"W2584632106","doi":"10.7554/elife.19976","title":"Mapping cortical mesoscopic networks of single spiking cortical or sub-cortical neurons","year":2017,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":145,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Vancouver Coastal Health","funders":"Canadian Institutes of Health Research; Fondation Brain Canada","keywords":"Neuroscience; Cortical neurons; Nerve net; Cerebral cortex; Context (archaeology); Neuron; Premovement neuronal activity; Electrophysiology; Biology","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":[0.00008821463,0.0002079921,0.0001632429,0.0003757525,0.0001134685,0.0003107139,0.0002639121,0.0001771013,0.000917981],"category_scores_gemma":[0.0003016209,0.0001319332,0.000156788,0.0002756331,0.0002667425,0.0002996892,0.0002700504,0.0002399759,0.0001718797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002579922,"about_ca_system_score_gemma":0.0002283864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008377164,"about_ca_topic_score_gemma":0.002341687,"domain_scores_codex":[0.9999521,0.000004079287,0.000002005376,0.00002243715,0.000009864201,0.000009521186],"domain_scores_gemma":[0.9999202,0.00002570668,0.00001835673,0.0000134313,0.000008169305,0.0000139923],"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":[0.00006967275,0.00001879481,0.0029467,0.00007520385,0.00002823341,0.0001269551,0.00007799065,0.008045797,0.9654618,0.001811958,0.0001186488,0.02121831],"study_design_scores_gemma":[0.00002832587,0.000213466,0.1635273,0.00004414359,0.0000928859,0.0009685872,0.0003171414,0.219893,0.5950496,0.01539684,0.004427102,0.00004171793],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8119485,0.0002429084,0.1837023,0.00005540799,0.0000101001,0.00005219559,0.0007044356,0.0004034858,0.002880723],"genre_scores_gemma":[0.9469355,0.0002631565,0.05159296,0.00002127586,0.000005503305,0.00007512738,0.0002834277,0.0000591247,0.0007638754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000917981,"threshold_uncertainty_score":0.003070891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06664940239277053,"score_gpt":0.291641572437072,"score_spread":0.2249921700443015,"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."}}