{"id":"W2137204052","doi":"10.1007/s11060-014-1451-0","title":"Diagnostic discrepancies in malignant astrocytoma due to limited small pathological tumor sample can be overcome by IDH1 testing","year":2014,"lang":"en","type":"article","venue":"Journal of Neuro-Oncology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"National Cancer Institute; Wellcome Trust","keywords":"Grading (engineering); Medicine; IDH1; Confidence interval; Histopathology; Astrocytoma; Pathological; Odds ratio; Magnetic resonance imaging; Craniotomy; Pathology; Diagnostic odds ratio; Radiology; Oncology; Internal medicine; Glioma; Biology; Cancer research; Mutation","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":[0.005093938,0.0009450795,0.0008936087,0.002857283,0.0006481721,0.001339011,0.001035721,0.0009956004,0.001963916],"category_scores_gemma":[0.01702701,0.0004528955,0.0004442694,0.0009650564,0.001102966,0.0009533482,0.0009298132,0.0007999334,0.0008978128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006165674,"about_ca_system_score_gemma":0.0005316173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00169968,"about_ca_topic_score_gemma":0.002887992,"domain_scores_codex":[0.9976522,0.0005145179,0.0004123948,0.0005239383,0.0006401005,0.0002568442],"domain_scores_gemma":[0.9917921,0.004746479,0.0006882661,0.001083306,0.001459336,0.0002306421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001786756,0.0001551856,0.7353663,0.000846631,0.0002319649,0.01854935,0.000753663,0.001245265,0.1345811,0.00118647,0.005560221,0.09973703],"study_design_scores_gemma":[0.0001121509,0.0006461905,0.5072557,0.0004697582,0.0007671507,0.08792272,0.001779818,0.01843563,0.3444505,0.005585653,0.03248474,0.00009003046],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9396126,0.008383237,0.03335751,0.001821372,0.0007624232,0.000251663,0.00165545,0.001033254,0.01312252],"genre_scores_gemma":[0.982623,0.0007967215,0.01413164,0.0004875289,0.0001131417,0.00007439719,0.0008413047,0.0000926258,0.0008398044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005093938,"threshold_uncertainty_score":0.02693963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.043456264971226,"score_gpt":0.2919462847540983,"score_spread":0.2484900197828723,"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."}}