{"id":"W4387075785","doi":"10.48550/arxiv.2309.13780","title":"Modern Software Development for JUNO offline software","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"Youth Innovation Promotion Association of the Chinese Academy of Sciences; Youth Innovation Promotion Association; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Computer science; Software; Software development; Software engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001574533,0.0002650853,0.000251106,0.000189557,0.000283376,0.0001244257,0.001544818,0.000152654,0.000005492321],"category_scores_gemma":[0.00003877344,0.0003289015,0.0001972472,0.0004862794,0.00003799154,0.0001629169,0.001864665,0.0002561751,0.0001779505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001702856,"about_ca_system_score_gemma":0.000556885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002493234,"about_ca_topic_score_gemma":0.00003233189,"domain_scores_codex":[0.9982888,0.00002657136,0.0002226434,0.001056484,0.0001132206,0.0002923163],"domain_scores_gemma":[0.9981024,0.0003131708,0.0002038846,0.0008913482,0.0003499466,0.0001392502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001183699,0.0001187618,0.0004044689,0.0001384858,0.0001236215,0.00001988004,0.0003404994,0.7646618,0.000006757998,0.2123615,0.002756416,0.01905599],"study_design_scores_gemma":[0.0002197857,0.00001092137,0.001139571,0.00003982595,0.00001935426,5.793985e-7,0.000005050835,0.5170128,0.00003007656,0.4766082,0.004588405,0.000325375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007612362,0.0000222558,0.9903168,0.0002336197,0.000404351,0.000522713,0.00008413962,0.0007355215,0.00006819924],"genre_scores_gemma":[0.6792243,0.0000264782,0.3141302,0.0002013443,0.0001710136,0.00003183528,0.0004691701,0.00005520955,0.005690365],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6761866,"threshold_uncertainty_score":0.9999163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.115272580362998,"score_gpt":0.2178775719268278,"score_spread":0.1026049915638297,"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."}}