{"id":"W4406128027","doi":"10.3389/fvets.2024.1480860","title":"Diffusion tensor imaging for detecting biomarkers of idiopathic epilepsy in dogs","year":2025,"lang":"en","type":"review","venue":"Frontiers in Veterinary Science","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"White matter; Diffusion MRI; Context (archaeology); Medicine; Epilepsy; Magnetic resonance imaging; Biomarker; Disease; Pathology; Radiology; Psychiatry; 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":[0.00127429,0.001266434,0.001915483,0.004466344,0.0002274097,0.001228296,0.0008724133,0.00135552,0.002531885],"category_scores_gemma":[0.002220687,0.0004006155,0.001128052,0.001968488,0.00063801,0.0012958,0.000670477,0.001714714,0.001428567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007441764,"about_ca_system_score_gemma":0.001203238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002334213,"about_ca_topic_score_gemma":0.00370404,"domain_scores_codex":[0.9996436,0.00008345884,0.00008071522,0.00006414609,0.0001041232,0.00002398663],"domain_scores_gemma":[0.9989206,0.0005326831,0.0002192763,0.0000265434,0.0002585799,0.00004252632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001260136,0.00006156199,0.0008842548,0.02752281,0.0004542227,0.0001826046,0.00005586014,0.0002857717,0.001830332,0.002179637,0.0158676,0.9505494],"study_design_scores_gemma":[0.0001090114,0.0004455413,0.01011606,0.03121662,0.002050327,0.005782824,0.000205219,0.0008083638,0.003362436,0.005758051,0.9400094,0.0001363024],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001508704,0.998862,0.0001768975,0.0002249622,0.0001040268,0.000007215795,0.00002626639,0.000007919824,0.0004397688],"genre_scores_gemma":[0.002007037,0.996798,0.000564251,0.0001780584,0.0001373029,0.00001464447,0.00006246356,0.000002493993,0.0002359262],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004466344,"threshold_uncertainty_score":0.008469999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04084800549634854,"score_gpt":0.3690490221418704,"score_spread":0.3282010166455218,"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."}}