{"id":"W2093080946","doi":"10.1016/j.neuroimage.2014.10.012","title":"Wide field fluorescent imaging of extracellular spatiotemporal potassium dynamics in vivo","year":2014,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Toronto Western Hospital; Sunnybrook Health Science Centre","funders":"","keywords":"Ictal; Neuroscience; Extracellular; Multielectrode array; Biophysics; Cortex (anatomy); Fluorescence; Dynamics (music); Somatosensory system; Fluorophore; Microelectrode; Electroencephalography; Local field potential; Stereoelectroencephalography; Fluorescence-lifetime imaging microscopy; Chemistry; Biology; Physics; Biochemistry","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":[0.0002356266,0.0002592781,0.000187024,0.0002423352,0.0003685859,0.0006151288,0.0004123152,0.0005718572,0.001794319],"category_scores_gemma":[0.0004036853,0.0002140248,0.000117975,0.0002415516,0.0004663884,0.001027693,0.000412978,0.0006845242,0.0003665307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004125868,"about_ca_system_score_gemma":0.0004292445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00175322,"about_ca_topic_score_gemma":0.00241711,"domain_scores_codex":[0.9999338,0.000008079007,0.000002713985,0.00001803211,0.00001107784,0.00002627613],"domain_scores_gemma":[0.9998869,0.00004001483,0.00002475365,0.00001003005,0.00001476209,0.00002353903],"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":[0.0002205741,0.00001991567,0.0001855351,0.0000381209,0.000004305826,0.00008388322,0.0000338434,0.0002495284,0.9946601,0.000603445,0.0001721423,0.003728643],"study_design_scores_gemma":[0.00008106238,0.0002233617,0.00700533,0.00002523607,0.0000249793,0.00116609,0.0001441,0.009117405,0.9782972,0.001078151,0.002813976,0.0000232146],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9431558,0.001555641,0.04836493,0.0007488545,0.00005214793,0.00003526692,0.0004707728,0.0002448652,0.005371657],"genre_scores_gemma":[0.9599616,0.001962896,0.03035382,0.0002451866,0.00005421946,0.00006901786,0.0002900445,0.0001270883,0.006936131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001794319,"threshold_uncertainty_score":0.006002545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02513959873613605,"score_gpt":0.3035221213867902,"score_spread":0.2783825226506542,"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."}}