{"id":"W2810469816","doi":"10.1101/358432","title":"The functional genomic circuitry of human glioblastoma stem cells","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Calgary; University of Toronto","funders":"Hospital for Sick Children; Terry Fox Research Institute; Government of Canada; Ontario Institute for Cancer Research; Canadian Institutes of Health Research; Sick Kids Foundation; Genome Canada; Stand Up To Cancer; Entertainment Industry Foundation; Government of Ontario; American Association for Cancer Research","keywords":"Biology; CRISPR; Stem cell; Epigenomics; Genome; Computational biology; Temozolomide; Population; Glioblastoma; Gene; Genetics; Cancer research; DNA methylation; Medicine; Gene expression","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008322656,0.0001525571,0.0001455304,0.0003727665,0.0001583675,0.0003661238,0.0001648206,0.0001721063,0.001752052],"category_scores_gemma":[0.0001554231,0.00009919197,0.0001668942,0.0001830514,0.0002548769,0.0001368742,0.0002517209,0.000228794,0.0005226461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003817005,"about_ca_system_score_gemma":0.0003366274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001078147,"about_ca_topic_score_gemma":0.001233386,"domain_scores_codex":[0.9999033,0.000008578695,0.000004880335,0.00003562844,0.00003343843,0.00001410406],"domain_scores_gemma":[0.9999225,0.00001245023,0.00002344088,0.000009118859,0.00001776329,0.00001462776],"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":[0.00005736741,0.000008718024,0.002064533,0.00008683379,0.000009651354,0.0001345262,0.00005044583,0.0008273416,0.9792266,0.003033624,0.0004073819,0.014093],"study_design_scores_gemma":[0.00001682827,0.0003649237,0.05330792,0.00004855067,0.00005859055,0.001190855,0.0001992224,0.005272234,0.8918704,0.007171743,0.04047289,0.00002581548],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9482237,0.006088572,0.02756012,0.0008257962,0.00007549803,0.00006216342,0.005119408,0.000819881,0.01122479],"genre_scores_gemma":[0.9879588,0.001202565,0.004471207,0.0002124028,0.00001311686,0.00003227284,0.003254388,0.00004905848,0.002806155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001752052,"threshold_uncertainty_score":0.005861163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01901286892397654,"score_gpt":0.2255549791593978,"score_spread":0.2065421102354213,"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."}}