{"id":"W2923043774","doi":"10.1007/s00701-019-03875-8","title":"Diffusion-weighted magnetic resonance imaging for detection of postoperative intracranial pyogenic abscesses in neurosurgery","year":2019,"lang":"en","type":"article","venue":"Acta Neurochirurgica","topic":"Bacterial Infections and Vaccines","field":"Immunology and Microbiology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Medicine; Magnetic resonance imaging; Neuroradiology; Neurosurgery; Diffusion MRI; Abscess; Effective diffusion coefficient; Neurology; Interventional radiology; Radiology; Nuclear medicine; Surgery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007537557,0.0007604677,0.0006126419,0.00301769,0.0006378493,0.0008267278,0.0008373397,0.001278522,0.001288808],"category_scores_gemma":[0.003349887,0.000454736,0.0003975753,0.0007639013,0.0009202102,0.001166261,0.0003858149,0.001024606,0.000502346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005089532,"about_ca_system_score_gemma":0.0009505353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002691709,"about_ca_topic_score_gemma":0.002984717,"domain_scores_codex":[0.9997119,0.00005343595,0.00006038801,0.00002522345,0.00005976752,0.0000891332],"domain_scores_gemma":[0.9992784,0.0002669791,0.0001091074,0.0000405646,0.0001588361,0.0001462165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00461327,0.001259497,0.552008,0.0009000104,0.0002103435,0.2632652,0.0005762168,0.0007183297,0.07534534,0.0004819621,0.00333537,0.0972864],"study_design_scores_gemma":[0.0003023309,0.002793016,0.5641801,0.0009291662,0.0007133989,0.3712359,0.002158871,0.01012544,0.04077725,0.0009759156,0.005675031,0.0001335215],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778057,0.01196635,0.002035456,0.001010886,0.0001503822,0.0001538974,0.0001313557,0.00006876887,0.006677272],"genre_scores_gemma":[0.9932586,0.004283241,0.001595926,0.0002409222,0.0001423002,0.00003568011,0.00007551406,0.000008907677,0.0003588893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00301769,"threshold_uncertainty_score":0.00535202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006237840634848175,"score_gpt":0.2179451487840721,"score_spread":0.2117073081492239,"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."}}