{"id":"W2752715768","doi":"10.1182/blood-2017-07-793398","title":"Balancing the yin and yang of SINE","year":2017,"lang":"id","type":"letter","venue":"Blood","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Sine; Sine qua non; Internal medicine; Cancer research; Pharmacology; Oncology; Political science; Mathematics","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":[0.001326262,0.0004365671,0.0007426954,0.0003463163,0.001527153,0.002141974,0.0008910524,0.009582447,0.003886137],"category_scores_gemma":[0.006174557,0.0002983405,0.0004122615,0.0002670224,0.001930612,0.002133128,0.001340214,0.0186305,0.002992897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001455927,"about_ca_system_score_gemma":0.0009033555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006244078,"about_ca_topic_score_gemma":0.001270138,"domain_scores_codex":[0.9990187,0.0002313734,0.0000928136,0.0001418377,0.0003857601,0.000129609],"domain_scores_gemma":[0.9982047,0.0009316662,0.0001773953,0.0001133321,0.0002810124,0.0002917374],"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":[0.0002772539,0.00007501804,0.001315914,0.0001553297,0.00004306749,0.006038522,0.0002040009,0.0001237688,0.002698425,0.01406301,0.9136626,0.06134316],"study_design_scores_gemma":[0.0002400409,0.0001704749,0.0008085364,0.0001319315,0.00002974829,0.007721866,0.0002520948,0.0006833454,0.00226199,0.01878707,0.9688657,0.00004710027],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002168034,0.01305624,0.0006217494,0.9347426,0.04503496,0.00001649357,0.00004130754,0.00008751079,0.00423114],"genre_scores_gemma":[0.02727049,0.01341152,0.0007705751,0.7755798,0.1710457,0.00003850398,0.00007199337,0.00006294093,0.01174856],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.009582447,"threshold_uncertainty_score":0.01300043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005233126125058232,"score_gpt":0.2022748254058516,"score_spread":0.1970416992807934,"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."}}