{"id":"W4249443947","doi":"10.1007/s11427-016-5016-7","title":"Profile of Xiaofeng Cao","year":2016,"lang":"en","type":"article","venue":"Science China Life Sciences","topic":"Ubiquitin and proteasome pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chinese Academy of Sciences; Institute of Genetics; National Natural Science Foundation of China","keywords":"Computational biology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0005828933,0.0003000217,0.0002723096,0.0008024318,0.0008310949,0.0007607272,0.0002387456,0.0006179229,0.02642264],"category_scores_gemma":[0.001463313,0.00008969721,0.0001208989,0.0009120643,0.0001704328,0.0003910849,0.0005486656,0.0008985817,0.008361782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006448323,"about_ca_system_score_gemma":0.001406676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00144857,"about_ca_topic_score_gemma":0.002406678,"domain_scores_codex":[0.999656,0.0000547646,0.00001531546,0.00006839618,0.0001552816,0.00005028522],"domain_scores_gemma":[0.9987143,0.00008221405,0.0000656962,0.00003121268,0.0004678734,0.0006386679],"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":[0.0002157454,0.0000550428,0.01266595,0.0004174802,0.00001961931,0.001136833,0.0006751902,0.0001399963,0.007912819,0.004256341,0.7122547,0.2602503],"study_design_scores_gemma":[0.000006183456,0.00006214964,0.009850486,0.0000548994,0.000007353281,0.001017146,0.0003445385,0.000125396,0.001121276,0.0003578589,0.9870423,0.00001042088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.1462456,0.07926897,0.009749321,0.4348353,0.05992116,0.0007205759,0.006937705,0.0008736573,0.2614478],"genre_scores_gemma":[0.1438064,0.03865019,0.003560596,0.06657219,0.01664298,0.0003199797,0.003918722,0.0001796413,0.7263492],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02642264,"threshold_uncertainty_score":0.08839256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01764318278231593,"score_gpt":0.2740698767282936,"score_spread":0.2564266939459777,"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."}}