{"id":"W4384069937","doi":"10.1093/noajnl/vdad071.021","title":"EXPLORING THE INTERPLAY BETWEEN BRAIN TUMOUR INITIATING CELLS AND THE TUMOUR MICROENVIRONMENT: POTENTIAL TARGETING STRATEGIES FOR GLIOBLASTOMA","year":2023,"lang":"en","type":"article","venue":"Neuro-Oncology Advances","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Tumor microenvironment; Temozolomide; Context (archaeology); Cancer research; Stem cell; In vivo; Cancer stem cell; Biology; Glioblastoma; Medicine; Computational biology; Cell biology; Tumor cells; Biotechnology","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":[0.0007665484,0.0002121765,0.0004310537,0.00008802205,0.0004616235,0.00005663836,0.000174006,0.00004459588,0.0000165804],"category_scores_gemma":[0.0002557151,0.0001295172,0.0001393712,0.0001996886,0.0004419749,0.0002918231,0.0001732401,0.0003645873,0.00001436633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004418334,"about_ca_system_score_gemma":0.00007557579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001506235,"about_ca_topic_score_gemma":0.00002987383,"domain_scores_codex":[0.9983842,0.0002231386,0.0003852213,0.0003803,0.0001731105,0.0004540471],"domain_scores_gemma":[0.9972024,0.002313872,0.0002131246,0.0001602734,0.00003006414,0.00008024184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001707532,0.0000509654,0.0007122719,0.0002999856,0.0001565531,0.0001724169,0.004243418,0.001135589,0.8983375,0.0003375275,0.003382106,0.08946408],"study_design_scores_gemma":[0.01460315,0.003312451,0.007903048,0.0002621384,0.001042104,0.000316385,0.05260576,0.001471026,0.3996234,0.002950279,0.5152158,0.0006944844],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840333,0.001266842,0.001112615,0.01125133,0.001024146,0.0008739227,0.0000500914,0.0000969913,0.0002907724],"genre_scores_gemma":[0.9947138,0.00189049,0.0005795021,0.001480977,0.0009205155,0.0003064843,0.00001356275,0.00004001639,0.00005467435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5118337,"threshold_uncertainty_score":0.5281557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03104380498351592,"score_gpt":0.3078468773953257,"score_spread":0.2768030724118097,"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."}}