{"id":"W3135598154","doi":"10.1158/1538-7445.tme21-po052","title":"Abstract PO052: Uncovering the evolution of Glioblastoma proteome landscape from primary to the recurrent stage for development of novel diagnostic and predictive biomarkers","year":2021,"lang":"en","type":"article","venue":"Cancer Research","topic":"Ferroptosis and cancer prognosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University Medical Centre; Hospital for Sick Children; University of Calgary; Princess Margaret Cancer Centre; University Health Network; University of Toronto; McMaster University","funders":"","keywords":"Proteome; Glioblastoma; Biology; Phenotype; Gene expression profiling; Cancer research; Computational biology; Proteomics; Microarray; Bioinformatics; Gene; Oncology; Medicine; Gene expression; 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":[0.0002707212,0.0003441587,0.0004017529,0.0007300437,0.0003086195,0.0007965466,0.0002684353,0.0003962064,0.001659073],"category_scores_gemma":[0.0002911623,0.0001793759,0.0003995076,0.0007690745,0.0001920461,0.000361888,0.0003001281,0.000495323,0.000874429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004383401,"about_ca_system_score_gemma":0.0004345843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00108347,"about_ca_topic_score_gemma":0.001340045,"domain_scores_codex":[0.9998636,0.00001089132,0.00001076707,0.00004762642,0.00004300494,0.00002403261],"domain_scores_gemma":[0.9998908,0.00001190337,0.0000318297,0.00001009529,0.0000286544,0.00002673829],"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":[0.0007343133,0.000103083,0.02531506,0.0003133622,0.00008336375,0.0004361139,0.00005804906,0.0007035001,0.9455023,0.0004090165,0.004112564,0.02222926],"study_design_scores_gemma":[0.00008680121,0.0009930495,0.2613956,0.00007877177,0.0003353768,0.002920993,0.0003065451,0.02654779,0.6706839,0.001275041,0.03530886,0.00006717163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9639432,0.003942795,0.01353383,0.0007823898,0.0001524178,0.0001239667,0.01358973,0.0008069734,0.003124634],"genre_scores_gemma":[0.9534556,0.002663783,0.01716762,0.0004116804,0.00006420804,0.0001449358,0.02076269,0.0001347329,0.005194752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001659073,"threshold_uncertainty_score":0.005550146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05675914001222882,"score_gpt":0.3590430781808445,"score_spread":0.3022839381686157,"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."}}