{"id":"W4392108663","doi":"10.15173/m.v1i35.2206","title":"Understanding regulatory B cell development with single cell analyses","year":2019,"lang":"en","type":"article","venue":"The Meducator","topic":"T-cell and B-cell Immunology","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cell; Biology; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001082976,0.0004722515,0.0006617511,0.001128519,0.0002909606,0.001343478,0.0006817722,0.0008049933,0.002681246],"category_scores_gemma":[0.001299233,0.0004712658,0.0006601684,0.0006130747,0.000597349,0.001519246,0.0006379368,0.001284514,0.001217429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006310149,"about_ca_system_score_gemma":0.0005268242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001015352,"about_ca_topic_score_gemma":0.001139748,"domain_scores_codex":[0.999761,0.00004890195,0.00001956506,0.00007356016,0.00007423105,0.00002269834],"domain_scores_gemma":[0.9994767,0.0002583942,0.00005595413,0.0000812127,0.0000969726,0.00003071043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002652231,0.00009426397,0.01525152,0.002028612,0.0001501214,0.0005341661,0.0005099192,0.0472077,0.6909694,0.0295757,0.003390362,0.2100229],"study_design_scores_gemma":[0.0000582646,0.0004127145,0.03114484,0.0006966839,0.0003527208,0.002283697,0.0006580146,0.2282196,0.4231179,0.1133457,0.1995453,0.0001645362],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1318453,0.05466972,0.7953917,0.001372722,0.0003827281,0.0001527265,0.00227693,0.002072071,0.01183611],"genre_scores_gemma":[0.4767518,0.06773739,0.4436128,0.0009989095,0.0003260067,0.0003921894,0.003425057,0.0004952177,0.006260621],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002681246,"threshold_uncertainty_score":0.008969665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06616929181521547,"score_gpt":0.2500130178245962,"score_spread":0.1838437260093807,"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."}}