{"id":"W2910567329","doi":"10.1016/j.ccell.2018.12.005","title":"Tails of a Super Histone","year":2019,"lang":"en","type":"letter","venue":"Cancer Cell","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"Canadian Institutes of Health Research","keywords":"Histone; Computational biology; Biology; Cell biology; Genetics; DNA","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":[0.001556798,0.0004522585,0.0006456182,0.0002631937,0.003187576,0.002581512,0.0008306001,0.03232976,0.006789964],"category_scores_gemma":[0.01041001,0.0004550959,0.0008798204,0.0002230596,0.003017627,0.002494507,0.002378421,0.02682392,0.004217292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003152302,"about_ca_system_score_gemma":0.002028591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003515674,"about_ca_topic_score_gemma":0.005755227,"domain_scores_codex":[0.9986965,0.0003764525,0.0000999856,0.0001624347,0.0003781083,0.0002865178],"domain_scores_gemma":[0.9973249,0.001460708,0.00022978,0.0001927629,0.0002475071,0.0005442127],"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":[0.0001692276,0.00003010361,0.0005946443,0.00009707311,0.00004098947,0.006459979,0.0003166338,0.00009537574,0.001575378,0.01249048,0.9599866,0.01814347],"study_design_scores_gemma":[0.0001121254,0.00008778241,0.0006553232,0.0001346344,0.00002899128,0.003929289,0.0004671785,0.0001747754,0.0008646699,0.02683741,0.9666719,0.00003592873],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001199766,0.004535906,0.0001872263,0.9634698,0.02466153,0.000009226018,0.00003999033,0.00002322458,0.005873295],"genre_scores_gemma":[0.0152216,0.002603138,0.0002042346,0.9361562,0.02801995,0.00002465313,0.00004140008,0.00002098382,0.01770785],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03232976,"threshold_uncertainty_score":0.02287161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01962200876125487,"score_gpt":0.2874607938015981,"score_spread":0.2678387850403433,"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."}}