{"id":"W2585756639","doi":"10.18632/oncotarget.15066","title":"Targeting OSMR in glioma stem cells","year":2017,"lang":"en","type":"editorial","venue":"Oncotarget","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Jewish General Hospital; McGill University","funders":"","keywords":"Glioma; Stem cell; Medicine; Cancer research; Pharmacology; Bioinformatics; Biology; 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":[0.003065737,0.002049728,0.001548075,0.001711215,0.001339,0.003327312,0.00206604,0.009909009,0.005961538],"category_scores_gemma":[0.004311092,0.0008118006,0.00125865,0.000628247,0.001393695,0.00225813,0.001693717,0.01269387,0.003415479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001857226,"about_ca_system_score_gemma":0.00151652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005454331,"about_ca_topic_score_gemma":0.001925604,"domain_scores_codex":[0.9983217,0.0002331123,0.0002018208,0.0001734704,0.0008750657,0.0001947594],"domain_scores_gemma":[0.9972171,0.0009493669,0.0002807287,0.000100967,0.000761764,0.0006901011],"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":[0.0001382564,0.00002606804,0.00004410491,0.0002799809,0.0000318854,0.0003586299,0.00001284894,0.00005888761,0.001082916,0.001020338,0.9762556,0.02069055],"study_design_scores_gemma":[0.0001384161,0.00007220916,0.0002420611,0.0001233336,0.000068802,0.0005118443,0.00001662216,0.0002680228,0.001922554,0.001285337,0.9953307,0.00002016136],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0004833927,0.02274328,0.000897356,0.08276674,0.888886,0.0000561976,0.0001293565,0.0002356408,0.003802038],"genre_scores_gemma":[0.003763021,0.01804174,0.0005560705,0.05239797,0.8945571,0.00007295022,0.0001204399,0.00008284779,0.0304079],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.009909009,"threshold_uncertainty_score":0.01994336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009590387076654442,"score_gpt":0.2879161667389911,"score_spread":0.2783257796623367,"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."}}