{"id":"W2988060405","doi":"10.1093/neuonc/noz175.383","title":"EXTH-52. CO-TARGETING ONCOSTATIN M RECEPTOR USING MONOCLONAL ANTIBODIES IN COMBINATION WITH PRESENT STANDARDS OF CARE FOR GLIOBLASTOMA","year":2019,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Oncostatin M; Monoclonal antibody; Cancer research; Temozolomide; Signal transduction; Medicine; STAT3; Biology; Cytokine; Immunology; Antibody; Pharmacology; Glioma; Interleukin 6; Cell biology","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":[0.0002125225,0.0003544218,0.0003818384,0.0003742747,0.0001528604,0.0002462589,0.0003284098,0.000332084,0.001455105],"category_scores_gemma":[0.0001005934,0.0001226927,0.0003162951,0.0002327428,0.0001511141,0.0001640817,0.0002153909,0.0006990447,0.000469691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003425603,"about_ca_system_score_gemma":0.0003308642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005515902,"about_ca_topic_score_gemma":0.001500234,"domain_scores_codex":[0.9998187,0.00003256142,0.00001899037,0.00002868569,0.00005237188,0.00004874744],"domain_scores_gemma":[0.999953,0.000005268555,0.000009978375,0.000006818913,0.000007674011,0.000017277],"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":[0.0008600687,0.0009566189,0.0009810769,0.0002797624,0.00006069131,0.000245983,0.00002956598,0.0003506698,0.9503753,0.0004116826,0.001995509,0.04345301],"study_design_scores_gemma":[0.0007103962,0.009597697,0.01055225,0.00003869095,0.0002185698,0.001895439,0.00003120049,0.002481741,0.943219,0.0001090325,0.03112106,0.00002487178],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735386,0.01288624,0.004905585,0.0007035448,0.0004047524,0.000516944,0.0005905983,0.0004327398,0.00602105],"genre_scores_gemma":[0.984863,0.004655496,0.005072142,0.0002832711,0.00007329811,0.000297918,0.001362036,0.00002760577,0.003365258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001455105,"threshold_uncertainty_score":0.004867792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01073232142949284,"score_gpt":0.3069892383573241,"score_spread":0.2962569169278313,"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."}}