{"id":"W4282971516","doi":"10.1158/1538-7445.am2022-6397","title":"Abstract 6397: Understanding the glioblastoma microenvironment with spatial resolution in PDX models","year":2022,"lang":"en","type":"article","venue":"Cancer Research","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Tumor microenvironment; Phenotype; Biology; Transcriptome; Cancer research; Genetic heterogeneity; Glioblastoma; Disease; Tumour heterogeneity; In vivo; Cancer; Pathology; Gene; Medicine; Genetics; Gene expression; Tumor cells","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":[0.0005445745,0.00008585541,0.00007306598,0.00006696551,0.0003739394,0.00002843541,0.0002518202,0.00004309351,0.000101389],"category_scores_gemma":[0.000005745217,0.00006730491,0.00003159191,0.0001587492,0.000171175,0.000004304608,0.0001438833,0.0003826178,0.000001818327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000427435,"about_ca_system_score_gemma":0.000159593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001246582,"about_ca_topic_score_gemma":0.003528464,"domain_scores_codex":[0.9987153,0.0001387977,0.0001174345,0.0002889319,0.0003899494,0.0003496275],"domain_scores_gemma":[0.9996492,0.00001882556,0.00002591204,0.0002408497,0.00001992733,0.00004530425],"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":[0.001664527,0.0001187149,0.001284603,0.00002007921,0.00002965216,0.00001730276,0.0004678383,0.07568937,0.918285,0.0002024748,0.001039497,0.001180957],"study_design_scores_gemma":[0.01021675,0.006390948,0.01722268,0.0002421545,0.00004866268,0.0000835993,0.01542706,0.0268261,0.840431,0.005558578,0.07594672,0.001605706],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933558,0.0009143175,0.003992693,0.0006854001,0.00007498672,0.0003008675,0.00003098394,0.000004635624,0.000640297],"genre_scores_gemma":[0.9990715,0.0002796402,0.00002212831,0.00008533077,0.0001140804,0.0001693759,0.00001910908,0.00002129432,0.0002175561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07785393,"threshold_uncertainty_score":0.2876077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08017802225159629,"score_gpt":0.3082241421398284,"score_spread":0.2280461198882321,"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."}}