{"id":"W2119000874","doi":"10.1093/neuonc/nop007","title":"A multigene predictor of outcome in glioblastoma","year":2009,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":383,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Dr. Marnie Rose Foundation; National Cancer Institute; Rose Foundation for Communities and the Environment; V Foundation for Cancer Research","keywords":"Glioma; Oncology; Biology; Gene; Microarray; Biomarker; Internal medicine; Cancer research; Gene expression; Medicine; Bioinformatics; Genetics","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":[0.00008673617,0.0001216593,0.0004777373,0.0002051835,0.00001378301,0.000002054201,0.00006548346,0.0001274419,0.00009414486],"category_scores_gemma":[0.0001963694,0.00009905478,0.0000942124,0.0002073158,0.00004439952,0.00002542083,0.0000215886,0.0001428426,0.00003053739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001319288,"about_ca_system_score_gemma":0.0000738676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002538942,"about_ca_topic_score_gemma":0.00006807107,"domain_scores_codex":[0.998953,0.00006008316,0.0003921262,0.0002254386,0.0001417749,0.0002276096],"domain_scores_gemma":[0.9993217,0.0001807115,0.0001036848,0.0002321619,0.00004571777,0.0001160387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005378132,0.003023983,0.3614719,0.00002146147,0.00002851059,0.00162311,0.0003047946,0.00002021693,0.5973012,0.0001730398,0.0009978184,0.03449611],"study_design_scores_gemma":[0.00950399,0.009802354,0.8226684,0.00003372682,0.0000947936,0.0001835479,0.00004571637,0.0002195039,0.1361195,0.00008632422,0.02114509,0.00009699228],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946193,0.0001674441,0.000003701985,0.002996023,0.0001942432,0.0004024606,0.000007516324,0.00003562273,0.001573712],"genre_scores_gemma":[0.9977692,0.00004053915,0.0002866381,0.001776807,0.00007105452,0.00003010601,0.000003253048,0.00001055055,0.00001187246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4611966,"threshold_uncertainty_score":0.4039336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02444063387779733,"score_gpt":0.3186730734403417,"score_spread":0.2942324395625444,"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."}}