{"id":"W4404236764","doi":"10.1093/neuonc/noae165.0064","title":"ANGI-05. UNSUPERVISED DECONVOLUTION OF SPATIOTEMPORAL HETEROGENEITY REVEALS HIGH-RESOLUTION INVASION STATES IN GLIOBLASTOMA","year":2024,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Cancer Research and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Calgary","funders":"","keywords":"Glioblastoma; Deconvolution; Tumour heterogeneity; High resolution; Tumor heterogeneity; Biology; Computer science; Geography; Cancer research; Remote sensing; Cancer; Genetics; Algorithm","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":[0.0005132552,0.0004019728,0.0004067543,0.0008129388,0.0002868667,0.0006600146,0.0004430393,0.0003036877,0.001459949],"category_scores_gemma":[0.0008353589,0.0002003244,0.0007062191,0.0006095361,0.0002286379,0.0002400402,0.0004362583,0.0004080993,0.0004838791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004723855,"about_ca_system_score_gemma":0.0009082205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01070351,"about_ca_topic_score_gemma":0.01364811,"domain_scores_codex":[0.9998614,0.00002093278,0.000007649181,0.00004748242,0.00003620252,0.00002638154],"domain_scores_gemma":[0.9997587,0.0000764891,0.00003490566,0.00003735126,0.00005802448,0.00003454987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001933865,0.0005826175,0.1264134,0.0005524072,0.0006407803,0.0005119686,0.0004707277,0.255077,0.4478651,0.006195589,0.01612798,0.1436285],"study_design_scores_gemma":[0.00002483179,0.0001118985,0.06115591,0.00001095436,0.00005609967,0.0001475131,0.00009816097,0.8902611,0.04306665,0.002560072,0.002452167,0.00005461235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8911522,0.0002146504,0.09134889,0.0001640878,0.00003736605,0.00004796222,0.007879005,0.007106083,0.002049723],"genre_scores_gemma":[0.908395,0.0001464978,0.07420742,0.00006701873,0.00001411425,0.00007476101,0.01455978,0.0006799519,0.001855561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01070351,"threshold_uncertainty_score":0.02128243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01976993667904103,"score_gpt":0.3105037646722247,"score_spread":0.2907338279931836,"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."}}