{"id":"W3095172747","doi":"10.14778/3424573.3424578","title":"MorphoSys","year":2020,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Replication (statistics); Distributed computing; Workload; Distributed database; Operating system","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":[0.0006889353,0.0008337009,0.0004454096,0.0005993661,0.0003675605,0.001215626,0.002391056,0.0005692581,0.02942088],"category_scores_gemma":[0.002599053,0.0005218086,0.0005488754,0.000483664,0.0004699433,0.001786264,0.001746281,0.0009814654,0.00665235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006108598,"about_ca_system_score_gemma":0.001003691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001693097,"about_ca_topic_score_gemma":0.002587405,"domain_scores_codex":[0.9994602,0.00006341852,0.00004202082,0.0001184588,0.0002591934,0.00005680475],"domain_scores_gemma":[0.9992326,0.0002068376,0.0000828897,0.0002528002,0.000162951,0.00006186827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001770559,0.0004134615,0.006258722,0.00169195,0.0001925821,0.000488077,0.0004283007,0.06208438,0.06330409,0.05870735,0.2706497,0.5340107],"study_design_scores_gemma":[0.0004502925,0.0007085329,0.003694734,0.0001328175,0.000107933,0.0009111839,0.0001435147,0.3754812,0.06149771,0.0269302,0.5298258,0.0001161247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07284612,0.003201416,0.5184378,0.001023605,0.0007729928,0.001179387,0.01161884,0.3075124,0.08340736],"genre_scores_gemma":[0.4665569,0.002382157,0.4070579,0.001101348,0.0001751485,0.001255395,0.03077359,0.01955086,0.07114669],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02942088,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01438667055517795,"score_gpt":0.1928999044475422,"score_spread":0.1785132338923643,"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."}}