{"id":"W3102793933","doi":"10.1051/epjconf/202024507019","title":"Network in Belle II","year":2020,"lang":"en","type":"article","venue":"EPJ Web of Conferences","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Upgrade; Raw data; Computer science; Key (lock); Service (business); Node (physics); Enhanced Data Rates for GSM Evolution; Data transmission; Telecommunications; Computer network; Engineering; Computer security; Business; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002290841,0.00007819089,0.000238738,0.0001117481,0.0002701799,0.00008021833,0.001104551,0.00002647167,0.001494995],"category_scores_gemma":[0.001315256,0.00005722245,0.00004661355,0.001178015,0.000104708,0.0001225985,0.001421336,0.00007662713,0.0001177249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003613011,"about_ca_system_score_gemma":0.000241345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006282446,"about_ca_topic_score_gemma":0.0001225306,"domain_scores_codex":[0.9978829,0.0001035864,0.0005325254,0.0004464954,0.0008382095,0.0001962679],"domain_scores_gemma":[0.9987527,0.0004803373,0.0001730944,0.0004060699,0.0001055,0.00008236623],"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":[0.00006464196,0.0001146895,0.2512883,0.00001257876,0.00001836402,0.00001443134,0.005897251,0.006637217,0.0001363464,0.1140341,0.4964121,0.12537],"study_design_scores_gemma":[0.0003375221,0.0001461824,0.03141619,0.00003331693,0.000004528556,2.391694e-7,0.001425703,0.0543725,0.000103163,0.03463965,0.8773785,0.0001424871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.830677,0.0002722097,0.003310998,0.01211666,0.001064335,0.000159191,0.00001263678,0.00004680643,0.1523401],"genre_scores_gemma":[0.9977766,0.000006574488,0.0006871094,0.0004575919,0.0001046956,0.00000163089,0.000003109411,0.000001943589,0.0009608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3809665,"threshold_uncertainty_score":0.9994178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2110943115147179,"score_gpt":0.3614477124972431,"score_spread":0.1503534009825252,"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."}}