{"id":"W4401265865","doi":"10.1038/s41591-024-03138-9","title":"Targeting axonal guidance dependencies in glioblastoma with ROBO1 CAR T cells","year":2024,"lang":"en","type":"article","venue":"Nature Medicine","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"Juravinski Cancer Centre; University of Ottawa; Princess Margaret Cancer Centre; McMaster University Medical Centre; Hospital for Sick Children; University Health Network; University of Toronto; SickKids Foundation; National Research Council Canada; McMaster University","funders":"Mitacs; Canadian Institutes of Health Research; Terry Fox Research Institute; National Cancer Institute; Government of Canada; Foundation for the National Institutes of Health","keywords":"Glioblastoma; Neuroscience; Cancer research; Computational biology; Computer science; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009492894,0.0002729165,0.0004968368,0.0005175875,0.00004874891,0.00002338226,0.000192688,0.0003459213,0.003092692],"category_scores_gemma":[0.0002797301,0.0001734113,0.00006370446,0.001226539,0.0002555749,0.00009364652,0.00005406248,0.002357142,0.00006122838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002782027,"about_ca_system_score_gemma":0.000299773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001046932,"about_ca_topic_score_gemma":0.0002101088,"domain_scores_codex":[0.997209,0.00007110032,0.0003476972,0.0005416131,0.001291738,0.0005388841],"domain_scores_gemma":[0.9988942,0.0003101421,0.00003947149,0.000343054,0.0001965195,0.0002165921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001320508,0.00007414289,0.003566604,0.0007075924,0.0001375565,0.004873205,0.001449958,0.00008968377,0.9460968,0.0003700323,0.03035295,0.01096093],"study_design_scores_gemma":[0.009091591,0.00522664,0.006943642,0.009183194,0.0002665299,0.001856811,0.002312946,0.006923115,0.4178791,0.0003020563,0.5391722,0.0008422011],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8744301,0.08302499,0.0005686454,0.01827877,0.001723293,0.001368674,0.00001637583,0.0004305659,0.02015864],"genre_scores_gemma":[0.9831736,0.0003920682,0.0007302252,0.001110583,0.001713563,0.0000348719,0.00002032931,0.00007154265,0.0127532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5282177,"threshold_uncertainty_score":0.9999444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016253600359658,"score_gpt":0.3026076256505932,"score_spread":0.2924450896469966,"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."}}