{"id":"W2808436861","doi":"10.1039/c7an01904a","title":"Direct label-free imaging of brain tissue using synchrotron light: a review of new spectroscopic tools for the modern neuroscientist","year":2018,"lang":"en","type":"review","venue":"The Analyst","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatoon Medical Imaging; University of Saskatchewan","funders":"Dementia Australia; Australian Synchrotron; Heart and Stroke Foundation of Canada; Australian Nuclear Science and Technology Organisation; Curtin University of Technology; Canadian Institutes of Health Research; Saskatchewan Health Research Foundation","keywords":"Brain function; Synchrotron; Neuroscience; X-ray absorption spectroscopy; Brain disease; Nanotechnology; Functional near-infrared spectroscopy; Brain tissue; Neuroimaging; Computer science; Medicine; Optics; Materials science; Physics; Biology; Disease; Absorption spectroscopy; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009937783,0.000302961,0.001033085,0.00006441861,0.00010887,0.00003955382,0.001888667,0.0001524965,0.00005370538],"category_scores_gemma":[0.00145463,0.0001591169,0.000534042,0.0004842054,0.0004886272,0.000005077389,0.0006551994,0.0002116112,0.000002047967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004731464,"about_ca_system_score_gemma":0.0003539271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005401861,"about_ca_topic_score_gemma":0.000005546377,"domain_scores_codex":[0.9978614,0.0001722325,0.0006810242,0.0004875977,0.0004182368,0.000379493],"domain_scores_gemma":[0.9974365,0.0002661908,0.0004970962,0.001565389,0.0001449367,0.0000898365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000490286,0.0001230052,0.000001377059,0.05267449,0.0005510024,0.000003090168,0.00001373544,1.176944e-7,0.3751193,0.00011344,0.2183834,0.352968],"study_design_scores_gemma":[0.0001102121,0.0001542327,2.005252e-7,0.01321134,0.0007831813,0.00001182587,0.000001380983,0.00004957842,0.07556743,0.0002395977,0.909717,0.0001539857],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001362176,0.9877235,0.009494578,0.0007043318,0.00009451486,0.001093233,0.0001119254,0.00001004766,0.0007542928],"genre_scores_gemma":[0.00002797139,0.9956344,0.001433254,0.0002858012,0.0004907385,0.00007133438,0.0001006741,0.00004267136,0.001913189],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6913337,"threshold_uncertainty_score":0.6488597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06060859647784274,"score_gpt":0.4317842528647047,"score_spread":0.371175656386862,"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."}}