{"id":"W4407814863","doi":"10.1093/neuonc/noaf047","title":"A molecular array for 10-second diagnosis of common spinal tumor types with picosecond infrared laser mass spectrometry","year":2025,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Drug Policy Research Network; Ontario Institute for Cancer Research; St. Michael's Hospital; Canada Research Chairs; Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Schwannoma; Meningioma; Medicine; Differential diagnosis; Paraganglioma; Radiology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000948151,0.0002136789,0.0006988809,0.0003156977,0.00004710399,0.0000116568,0.0001182624,0.0001136319,0.000719153],"category_scores_gemma":[0.0001489673,0.0001713968,0.000152448,0.0003586656,0.0001156517,0.00003825716,0.00003225458,0.0001624959,0.00001539743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001529453,"about_ca_system_score_gemma":0.0002589117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000103966,"about_ca_topic_score_gemma":0.00006353952,"domain_scores_codex":[0.9987745,0.00007173264,0.000340726,0.0003684349,0.0001360687,0.0003085985],"domain_scores_gemma":[0.9987429,0.0004770042,0.0001706144,0.0003638303,0.0001314561,0.0001142146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003252492,0.003581542,0.1653414,0.0005951537,0.0009044161,0.001575034,0.0000820975,0.00002510231,0.8032336,0.001179136,0.01572178,0.004508294],"study_design_scores_gemma":[0.006736288,0.009370688,0.02076921,0.0001107629,0.0005197102,0.00006312693,0.00006174546,0.00001517761,0.889656,0.0006343318,0.07193141,0.0001315359],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857273,0.0006239258,0.0001562972,0.001746042,0.0001697645,0.0009582338,0.00006008546,0.0000342191,0.01052414],"genre_scores_gemma":[0.994045,0.00002655033,0.002316786,0.002733689,0.00005146223,0.0006156142,0.00003481134,0.00002996058,0.0001461061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1445722,"threshold_uncertainty_score":0.7874221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172647316036015,"score_gpt":0.2870683786378405,"score_spread":0.2753419054774804,"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."}}