{"id":"W4404230874","doi":"10.1093/neuonc/noae165.0629","title":"IMMU-36. MULTI-OMIC CHARACTERIZATION OF A SYNGENEIC MOUSE CANCER STEM CELL MODEL OF GBM FOR PRECLINICAL APPLICATIONS","year":2024,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Standards Association; University of Calgary","funders":"","keywords":"Cancer; Cancer research; Computational biology; Cancer stem cell; Biology; Genetics","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":[0.0008109242,0.001203339,0.0004910734,0.002279564,0.0004101756,0.0006647722,0.0005570873,0.0008900588,0.00479103],"category_scores_gemma":[0.0001538082,0.000475188,0.000709162,0.0007459156,0.0005919312,0.0003598315,0.00034442,0.00148284,0.002325331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007081024,"about_ca_system_score_gemma":0.0003422378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001563436,"about_ca_topic_score_gemma":0.002746424,"domain_scores_codex":[0.9991212,0.0001002999,0.0001091325,0.0001808771,0.0003546515,0.0001338222],"domain_scores_gemma":[0.999516,0.00005554756,0.0001392779,0.00008429338,0.00008254987,0.0001223061],"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":[0.00007414286,0.00006727556,0.0001302082,0.00002995419,0.00000554221,0.00003986063,0.00003047559,0.00009543156,0.9985819,0.0002390078,0.00008731633,0.0006189354],"study_design_scores_gemma":[0.00002328593,0.0003401625,0.002021448,0.000009033368,0.00002234676,0.0001751567,0.00003250857,0.001624775,0.9903052,0.00008231766,0.005356544,0.000007267339],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8936529,0.002019702,0.07102867,0.0005893,0.0002779466,0.001090238,0.01814044,0.001983062,0.01121778],"genre_scores_gemma":[0.8595042,0.00155719,0.07895534,0.0002723949,0.00004927571,0.002111833,0.01907235,0.0007310754,0.03774627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00479103,"threshold_uncertainty_score":0.01602757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07576980243174139,"score_gpt":0.3765004190004864,"score_spread":0.300730616568745,"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."}}