{"id":"W2945951053","doi":"10.1097/rlu.0000000000002610","title":"18F-FACBC PET/MRI in Diagnostic Assessment and Neurosurgery of Gliomas","year":2019,"lang":"en","type":"article","venue":"Clinical Nuclear Medicine","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Histopathology; Magnetic resonance imaging; Nuclear medicine; Glioma; Neurosurgery; Radiology; Lesion; Pathology","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":[0.002050335,0.00079094,0.0006274778,0.0008422104,0.0001699162,0.000590211,0.0003653319,0.0007820603,0.0008661659],"category_scores_gemma":[0.002817177,0.0005233046,0.0003367995,0.0003338041,0.0005377237,0.0006726615,0.0003591014,0.0004391701,0.000647426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004068292,"about_ca_system_score_gemma":0.0005863417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001042371,"about_ca_topic_score_gemma":0.001948546,"domain_scores_codex":[0.9992443,0.0003775653,0.00004297162,0.0001475177,0.0001212212,0.00006634106],"domain_scores_gemma":[0.9990776,0.0003435973,0.000189819,0.00007258821,0.0001699924,0.000146394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02816512,0.001267717,0.5520983,0.0008207518,0.0004320622,0.004370448,0.0003527786,0.002031534,0.158138,0.000129838,0.000546571,0.2516468],"study_design_scores_gemma":[0.002225001,0.05414791,0.7162902,0.0002985803,0.002068748,0.07334872,0.0006120514,0.01770283,0.1207499,0.0003950725,0.01198481,0.0001762163],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825248,0.01185997,0.003989456,0.0001770466,0.00005178331,0.00009353043,0.00006180039,0.00005722583,0.001184353],"genre_scores_gemma":[0.9920542,0.001648495,0.005660462,0.00008499401,0.00008545428,0.00004425584,0.0001158732,0.00001239323,0.0002937148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002050335,"threshold_uncertainty_score":0.01084334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0357133928227073,"score_gpt":0.3731905850679287,"score_spread":0.3374771922452214,"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."}}