{"id":"W3168629703","doi":"10.1101/2021.06.02.446670","title":"Hitting more birds with one stone: CD70 as an actionable immunotherapeutic target in recurrent glioblastoma","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; McMaster University","funders":"Mitacs; McMaster University","keywords":"Gene knockdown; Cancer research; Immunotherapy; In vivo; Immune system; Biology; Tumor microenvironment; Glioblastoma; Immunology; Medicine; Cell culture","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002022931,0.0002306039,0.000328212,0.0003380478,0.0001549002,0.0006093958,0.0002124887,0.0003019558,0.0008913751],"category_scores_gemma":[0.00009662766,0.00008245516,0.0001963754,0.0001964209,0.0003062457,0.0003570103,0.0002395125,0.0004978402,0.0002486994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004052644,"about_ca_system_score_gemma":0.0002758085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005169035,"about_ca_topic_score_gemma":0.0009322952,"domain_scores_codex":[0.9999088,0.00001648898,0.00000634972,0.00001419487,0.00002553518,0.00002870535],"domain_scores_gemma":[0.9999495,0.000005830836,0.00001142524,0.00000628816,0.00001172896,0.00001527888],"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":[0.0004551332,0.0001682001,0.001430839,0.0002403373,0.00003269714,0.0002064951,0.00006176523,0.0006507459,0.950718,0.001024795,0.001064849,0.04394597],"study_design_scores_gemma":[0.0001021297,0.003011929,0.008603273,0.00005575657,0.0001634338,0.001593981,0.0001554281,0.003617811,0.9572439,0.0009486894,0.02447616,0.0000274453],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653006,0.02439773,0.005898834,0.001439211,0.0001242844,0.00006424384,0.0001584469,0.0001572262,0.002459367],"genre_scores_gemma":[0.9886085,0.007267298,0.001838499,0.0003312723,0.00005815709,0.00002407391,0.0001088249,0.00001575405,0.001747606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008913751,"threshold_uncertainty_score":0.002981961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01435582978733381,"score_gpt":0.2529056276424066,"score_spread":0.2385497978550728,"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."}}