{"id":"W4409333206","doi":"10.1038/s41598-025-87902-y","title":"Characterizing the evolution of lesion, penumbra and blood-brain barrier permeability in a photothrombotic juvenile rat stroke model using MRI and histology","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Institute for Clinical Evaluative Sciences; Queen's University; University of Toronto; Hospital for Sick Children","funders":"Hospital for Sick Children; Natural Sciences and Engineering Research Council of Canada; Sick Kids Foundation; Fondation Brain Canada","keywords":"Penumbra; Histology; Medicine; Stroke (engine); Lesion; Magnetic resonance imaging; Pathology; Blood–brain barrier; Radiology; Cardiology; Ischemia; Internal medicine; Central nervous system; Physics","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":[0.000274968,0.000507903,0.0003608913,0.0009926335,0.0001774018,0.0002598074,0.0001982604,0.0002704075,0.000967549],"category_scores_gemma":[0.0001481163,0.0002601621,0.0003375103,0.0002516391,0.0003173832,0.0004423903,0.0002255849,0.000738139,0.0002239453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002512651,"about_ca_system_score_gemma":0.0003074944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001230218,"about_ca_topic_score_gemma":0.003413534,"domain_scores_codex":[0.9998013,0.00001482114,0.0000213315,0.00005350621,0.00005652805,0.00005254612],"domain_scores_gemma":[0.9994784,0.00003013416,0.0002699559,0.00003395135,0.00007097852,0.0001165776],"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":[0.0002864695,0.0001289251,0.003251851,0.00005727386,0.00002447853,0.0003238466,0.00007278322,0.00007791822,0.9931927,0.00007086211,0.00004948779,0.002463316],"study_design_scores_gemma":[0.00002807285,0.005577131,0.1069832,0.00003606372,0.0001493933,0.002435763,0.0003188445,0.001193853,0.8818487,0.0001024018,0.001287791,0.00003884034],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940503,0.001035106,0.003900032,0.00003428815,0.00002115353,0.00004969727,0.0003212103,0.00007841492,0.0005096601],"genre_scores_gemma":[0.9844382,0.002856822,0.006840227,0.00006524148,0.00001589825,0.0001609435,0.0009880187,0.00002990396,0.004604693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001230218,"threshold_uncertainty_score":0.00323683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01651194714209813,"score_gpt":0.269707128445944,"score_spread":0.2531951813038458,"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."}}