{"id":"W2057662089","doi":"10.1038/jcbfm.2014.147","title":"Monitoring Stroke Progression: <i>In Vivo</i> Imaging of Cortical Perfusion, Blood—Brain Barrier Permeability and Cellular Damage in the Rat Photothrombosis Model","year":2014,"lang":"en","type":"article","venue":"Journal of Cerebral Blood Flow & Metabolism","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Blood–brain barrier; Ischemia; Medicine; Cerebral blood flow; Brain ischemia; In vivo; Brain damage; Stroke (engine); Neuroscience; Vascular permeability; Pathology; Anesthesia; Central nervous system; Biology; Cardiology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002067207,0.0002984967,0.0007088613,0.0002172883,0.00009058106,0.00007651691,0.0003805048,0.00009785835,0.00004508592],"category_scores_gemma":[0.000386339,0.0002177226,0.0001800406,0.0002460412,0.0001564136,0.0004464758,0.00006663179,0.0009303712,3.475735e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000247983,"about_ca_system_score_gemma":0.00006792526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001526013,"about_ca_topic_score_gemma":0.000004477321,"domain_scores_codex":[0.9974822,0.0002763563,0.0009349677,0.0002334881,0.0005961933,0.000476744],"domain_scores_gemma":[0.9988713,0.0003393209,0.0001857744,0.0003199525,0.000113735,0.0001699627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003835912,0.0002555437,0.05784289,0.0001373601,0.00005781227,0.00004458538,0.003108125,0.01238602,0.9240072,0.00006118957,0.0000812009,0.001979657],"study_design_scores_gemma":[0.003596103,0.00005643836,0.02324643,0.0004232104,0.0004798189,0.0001491369,0.00105771,0.5452172,0.4248738,0.0004244398,0.0001258648,0.0003498875],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932011,0.002868862,0.002811076,0.0001663107,0.0004479957,0.0002073819,0.00001468803,0.00002095617,0.0002616771],"genre_scores_gemma":[0.9930303,0.0001919533,0.006315688,0.00007946818,0.0003213498,0.000008871764,5.525242e-7,0.00003868809,0.00001309282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5328311,"threshold_uncertainty_score":0.8878468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005961425939001132,"score_gpt":0.2202735747298175,"score_spread":0.2143121487908163,"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."}}