{"id":"W2167402581","doi":"10.1016/j.neuroimage.2012.04.009","title":"Quantitative estimates of stimulation-induced perfusion response using two-photon fluorescence microscopy of cortical microvascular networks","year":2012,"lang":"en","type":"article","venue":"NeuroImage","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; University of Toronto; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research","keywords":"Perfusion; Stimulation; Somatosensory system; Hemodynamics; Cerebral blood flow; Neuroscience; Barrel cortex; Sensory stimulation therapy; Functional imaging; Pathology; Chemistry; Medicine; Internal medicine; 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":[0.0004180693,0.0003751343,0.0002272391,0.0005868789,0.0002604202,0.0003986347,0.000368625,0.0005332406,0.001484949],"category_scores_gemma":[0.001131099,0.0002452408,0.0001520958,0.000327748,0.0003126033,0.0006455274,0.000299686,0.0005426148,0.0001714592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004676007,"about_ca_system_score_gemma":0.0003432913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001616745,"about_ca_topic_score_gemma":0.001610317,"domain_scores_codex":[0.999912,0.00002196586,0.000003244516,0.0000148218,0.00002968706,0.00001832113],"domain_scores_gemma":[0.9994994,0.0003350454,0.00004758203,0.00003246025,0.00005824748,0.00002724735],"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":[0.0002077415,0.00003324174,0.000522132,0.00009784062,0.00001458891,0.00006288226,0.00005547144,0.00409177,0.9867697,0.0004776331,0.00009735281,0.007569642],"study_design_scores_gemma":[0.00004266626,0.0002795035,0.02265026,0.00002012039,0.0000497101,0.0004785562,0.0001084059,0.09502161,0.8793041,0.001208109,0.0007986745,0.00003843446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8237466,0.0008240463,0.171791,0.0001679389,0.00001650168,0.0001239623,0.0004400571,0.000391533,0.002498439],"genre_scores_gemma":[0.9625711,0.000667705,0.03499836,0.0000573092,0.0000142842,0.0002187349,0.0001857766,0.00006704081,0.001219747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001616745,"threshold_uncertainty_score":0.00496769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05208030015414469,"score_gpt":0.3931512349833527,"score_spread":0.341070934829208,"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."}}