{"id":"W4322492489","doi":"10.1111/jvim.16654","title":"Quantitative analysis of magnetic resonance images for characterization of blood-brain barrier dysfunction in dogs with brain tumors","year":2023,"lang":"en","type":"article","venue":"Journal of Veterinary Internal Medicine","topic":"Veterinary Oncology Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Israel Science Foundation","keywords":"Medicine; Magnetic resonance imaging; Blood–brain barrier; Pathology; Brain tumor; Nuclear medicine; Radiology; Internal medicine; Central nervous system","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":[0.001766274,0.0001871918,0.0011555,0.002412296,0.00002490229,0.000004383235,0.0002080849,0.00008485557,0.0002280188],"category_scores_gemma":[0.001436918,0.0001337428,0.0001906923,0.001773058,0.0004057506,0.0002000228,0.0000561473,0.0003400074,0.000001300112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000769255,"about_ca_system_score_gemma":0.0001491598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006909639,"about_ca_topic_score_gemma":0.00001020706,"domain_scores_codex":[0.997464,0.0002360149,0.001193778,0.0002231653,0.0006161298,0.0002669273],"domain_scores_gemma":[0.9972154,0.0009270242,0.000814678,0.0002148914,0.0006875409,0.0001404925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.02007671,0.0002422169,0.05881615,0.0003885341,0.000728124,0.002056559,0.001257897,0.00002877389,0.9127062,0.00001943416,0.0004525914,0.003226799],"study_design_scores_gemma":[0.008652106,0.1263693,0.8479306,0.003053975,0.001174766,0.003826617,0.001000011,0.003226702,0.003742161,0.00003380612,0.0008609008,0.0001290014],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920391,0.0004059716,0.001530472,0.005319006,0.0001741373,0.0003821578,0.00005120595,0.000009805257,0.00008808226],"genre_scores_gemma":[0.9969667,0.0001815072,0.001340621,0.0002119977,0.000140493,0.00002201293,0.0000414154,0.00002824091,0.001067066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.908964,"threshold_uncertainty_score":0.5453874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04723688842579294,"score_gpt":0.3813306701973198,"score_spread":0.3340937817715269,"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."}}