{"id":"W6920638075","doi":"10.60692/3z183-jyp20","title":"Rucio: Scientific Data Management","year":2019,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Data management; Software; Data access; Architecture; Distributed database; Software architecture","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":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009827869,0.0001504324,0.0001773984,0.0002531037,0.0001819846,0.00166901,0.00244884,0.00005312821,0.00001143759],"category_scores_gemma":[0.000003479428,0.0001264593,0.00004201222,0.0005433306,0.00001711998,0.002167493,0.001018378,0.00006610733,0.01108314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006219147,"about_ca_system_score_gemma":0.00003191847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000284648,"about_ca_topic_score_gemma":3.222835e-8,"domain_scores_codex":[0.9982236,0.00005835846,0.0005127643,0.0003831624,0.0005217951,0.000300308],"domain_scores_gemma":[0.9969097,0.000005268306,0.0002519423,0.002635433,0.0001138651,0.00008376421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007198861,0.00003095603,0.3353976,0.008332175,0.0006782956,0.00007589381,0.2243225,0.01743905,0.000005648773,0.3189666,0.06996437,0.02471488],"study_design_scores_gemma":[0.001847457,0.00005136835,0.03162494,0.0005887158,0.00002188782,0.0001340411,0.005465915,0.8323326,0.00003977428,0.00001474501,0.1271447,0.0007338908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07122437,0.000004396876,0.8828751,0.0000571096,0.004272595,0.0005984547,0.0001474257,0.0007148721,0.04010569],"genre_scores_gemma":[0.9948835,1.736806e-8,0.00344314,0.00006687684,0.0000419785,0.00001019268,0.0001413432,0.000004299439,0.001408606],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9236591,"threshold_uncertainty_score":0.9993674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04441970893671653,"score_gpt":0.2186957686464819,"score_spread":0.1742760597097654,"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."}}