{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002732984,0.0001782716,0.0002556152,0.0006760426,0.0001911293,0.0002667445,0.0001097087,0.0002349839,0.000872928],"category_scores_gemma":[0.000921287,0.00007307406,0.0001599456,0.0005075517,0.0001665695,0.0001566709,0.0002827146,0.0002998727,0.0001889359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001826959,"about_ca_system_score_gemma":0.0001871883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008258066,"about_ca_topic_score_gemma":0.001727548,"domain_scores_codex":[0.9998697,0.00002668037,0.00001329913,0.00002540765,0.00003350581,0.00003140671],"domain_scores_gemma":[0.9994665,0.0001281613,0.0001985668,0.0000289012,0.00005836071,0.0001195018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003867511,0.00004149847,0.9841851,0.00001273646,0.00006050142,0.0001273725,0.00002773512,0.0003067436,0.008591208,0.00003301845,0.0002248237,0.006002662],"study_design_scores_gemma":[0.000004375442,0.00009155983,0.9975762,0.000003625315,0.00003160016,0.0002465309,0.00003217082,0.0006890469,0.0009708981,0.0001796927,0.0001701911,0.000004061662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992464,0.0001528476,0.0001608616,0.00005251986,0.000004144877,0.000002160641,0.0002499575,0.000005582566,0.0001255752],"genre_scores_gemma":[0.9991998,0.00006305119,0.0001562611,0.00001997484,0.000006419597,0.000005242541,0.0004449198,0.000002395435,0.0001020209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000872928,"threshold_uncertainty_score":0.00292027,"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."}}