{"id":"W1606081250","doi":"10.3171/2009.4.peds08464","title":"Application of intraoperative high-field magnetic resonance imaging in pediatric neurosurgery","year":2009,"lang":"en","type":"article","venue":"Journal of Neurosurgery Pediatrics","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; Foothills Medical Centre; University of Calgary","funders":"","keywords":"Medicine; Neuronavigation; Neurosurgery; Intraoperative MRI; Magnetic resonance imaging; Radiology; Population; Surgical planning; Surgery; Medical physics; Interventional magnetic resonance imaging","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":[0.0004583117,0.0002089111,0.0006160857,0.001245528,0.00003484579,0.00002499878,0.0001178387,0.00007864342,0.0000151185],"category_scores_gemma":[0.0007755609,0.0001794456,0.0002330309,0.001496135,0.00002366968,0.0002043138,0.00002132192,0.0003843429,0.000004418772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006134853,"about_ca_system_score_gemma":0.0001898898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001238311,"about_ca_topic_score_gemma":0.000001055385,"domain_scores_codex":[0.9976231,0.00009907833,0.001199722,0.0002426994,0.0005429419,0.0002924554],"domain_scores_gemma":[0.9977453,0.0007773513,0.0007060401,0.0002585875,0.0003376687,0.0001750172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002459733,0.000937588,0.9397602,0.00003860424,0.000001859807,0.001168134,0.00004489196,0.00009023577,0.003741217,0.00004442444,0.002946264,0.05098059],"study_design_scores_gemma":[0.001270146,0.0008048697,0.9936048,0.0000331201,0.0001700165,0.0003913256,0.0000124487,0.0001602879,0.00267467,0.0001287585,0.0006208436,0.0001287487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878369,0.008242138,0.00009220406,0.002987911,0.0005149547,0.0002252781,0.000005571351,0.00001280555,0.000082252],"genre_scores_gemma":[0.9911427,0.006727894,0.0002731498,0.001121146,0.0006963832,0.000005755018,0.000002481104,0.00002043119,0.0000100586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05384455,"threshold_uncertainty_score":0.731758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009268094206529184,"score_gpt":0.2484555181964369,"score_spread":0.2391874239899077,"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."}}