{"id":"W4404237283","doi":"10.1093/neuonc/noae165.1191","title":"TMIC-13. INTEGRATING SNRNASEQ AND SPATIAL TRANSCRIPTOME (ST) SHOWS DIVERSE TRANSCRIPTOMIC LANDSCAPE FOR TUMOR MICROENVIRONMENT (TME) IN INTRACRANIAL GERMINOMAS","year":2024,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Transcriptome; Tumor microenvironment; Biology; Computational biology; Evolutionary biology; Cancer research; Gene; Genetics; Tumor cells; Gene expression","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":[0.0005509085,0.0004302334,0.0004544446,0.0005751835,0.0005224476,0.0006755618,0.0003013693,0.0004014332,0.003259206],"category_scores_gemma":[0.0006601454,0.0003317948,0.0005753074,0.000786957,0.000247364,0.0001968058,0.0004950131,0.0004115557,0.001049227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003642447,"about_ca_system_score_gemma":0.0006162414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002314359,"about_ca_topic_score_gemma":0.005734794,"domain_scores_codex":[0.9995859,0.00003439463,0.00003654839,0.0001596401,0.0001023916,0.0000810873],"domain_scores_gemma":[0.9997366,0.00007517459,0.00003560253,0.00004163477,0.00007684655,0.00003408816],"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":[0.001502552,0.000100579,0.05720725,0.0006186572,0.0002069948,0.0006992881,0.0007192157,0.002720666,0.8948814,0.0005468305,0.008167733,0.03262888],"study_design_scores_gemma":[0.0001585397,0.0008067423,0.3768291,0.0001613173,0.0005377792,0.002535542,0.000999853,0.03564595,0.5230399,0.0007249839,0.05843694,0.0001232526],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9038365,0.0009457678,0.02544282,0.0002277247,0.0001350578,0.0001923748,0.06210499,0.00259163,0.004523177],"genre_scores_gemma":[0.7616624,0.0005892716,0.0633237,0.0004695274,0.00004947589,0.0005978757,0.1672435,0.001170302,0.00489399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003259206,"threshold_uncertainty_score":0.01090312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01602132791858902,"score_gpt":0.2706089686518943,"score_spread":0.2545876407333053,"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."}}