{"id":"W4388588352","doi":"10.1093/neuonc/noad179.1142","title":"TMIC-77. UNVEILING THE DEPTHS: EXPLORING DIFFUSE MIDLINE GLIOMA, TUMORIGENESIS, AND RADIATION RESISTANCE","year":2023,"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":"Neuroscience; Carcinogenesis; Glioma; Resistance (ecology); Cancer; Biology; Bioinformatics; Psychology; Cancer research; Genetics; Ecology","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":[0.001214947,0.001072257,0.001571637,0.003400353,0.001334511,0.002314777,0.001429844,0.001691078,0.005667419],"category_scores_gemma":[0.00373293,0.0003572612,0.001378379,0.004299615,0.0005695099,0.0009874448,0.002065185,0.001517701,0.004931352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001631081,"about_ca_system_score_gemma":0.002880767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01653042,"about_ca_topic_score_gemma":0.02918114,"domain_scores_codex":[0.9989784,0.000135866,0.00009630076,0.0002978112,0.0002387812,0.0002528426],"domain_scores_gemma":[0.9982147,0.0003614425,0.0003101842,0.0003932125,0.0004126234,0.0003076964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002091941,0.0004174975,0.3085686,0.008316033,0.001491312,0.00168147,0.0007323687,0.0160349,0.06939695,0.008297499,0.4581463,0.1248252],"study_design_scores_gemma":[0.0003810862,0.0005269331,0.2626326,0.001774158,0.001408699,0.003581215,0.001439081,0.01817216,0.0305196,0.009393653,0.6699294,0.0002413952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.1340075,0.01602078,0.004745455,0.002538931,0.0004623313,0.0001591846,0.8255742,0.002457903,0.01403377],"genre_scores_gemma":[0.09685957,0.003835224,0.006781727,0.001326072,0.0001036743,0.000245421,0.8885525,0.0003171867,0.001978498],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01653042,"threshold_uncertainty_score":0.03286839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04869723172325369,"score_gpt":0.3045791695223482,"score_spread":0.2558819377990945,"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."}}