{"id":"W2102000647","doi":"10.1158/0008-5472.can-04-3936","title":"Gene Expression Profiling and Genetic Markers in Glioblastoma Survival","year":2005,"lang":"en","type":"article","venue":"Cancer Research","topic":"Bone Metabolism and Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":315,"is_retracted":false,"has_abstract":true,"ca_institutions":"Immunovaccine (Canada)","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Tensin; Biology; Gene; Survival analysis; Gene expression profiling; Glioblastoma; Proportional hazards model; Oncology; Bioinformatics; Gene expression; PTEN; Computational biology; Genetics; Internal medicine; Medicine; Cancer research; PI3K/AKT/mTOR pathway; Signal transduction","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":[0.0002582998,0.00008062721,0.00008906463,0.0000818317,0.00006684122,0.00002574773,0.0001199021,0.00007361553,0.00005220513],"category_scores_gemma":[0.00007162237,0.00007419009,0.00002267769,0.0001275712,0.0001077143,0.000004423989,0.0001697327,0.000110648,0.000007053294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001826198,"about_ca_system_score_gemma":0.0001309361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000643673,"about_ca_topic_score_gemma":0.0001799394,"domain_scores_codex":[0.9989055,0.0001413761,0.0001119144,0.0003154829,0.0002083282,0.0003173339],"domain_scores_gemma":[0.9995756,0.00001474767,0.0000149755,0.0002053938,0.00006724741,0.0001221068],"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":[0.0003562141,0.00003218756,0.02129479,0.00002235559,0.000004136932,0.000007110082,0.00001936213,0.00007199647,0.9636986,0.000006612959,0.0008394175,0.01364726],"study_design_scores_gemma":[0.000618374,0.00007144065,0.03502434,0.00002166512,0.000002687105,0.00000305759,0.00007113371,0.00004214418,0.9558496,0.00002502824,0.008163524,0.000106988],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854753,0.0138432,0.00002924913,0.0001359573,0.00005346122,0.0001729096,0.00001731565,0.000005194589,0.0002674324],"genre_scores_gemma":[0.9960747,0.002304781,0.0007037382,0.00004452228,0.0004053258,0.0000956279,0.000007774769,0.00001627267,0.0003472221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01372955,"threshold_uncertainty_score":0.3025384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02743550468012853,"score_gpt":0.3481900456140119,"score_spread":0.3207545409338834,"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."}}