{"id":"W2910240344","doi":"10.2514/6.2019-2222","title":"The Mosaic CGNS Dataflow Platform","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Dataflow; Mosaic; Computer science; Embedded system; Programming language; History","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005311,0.0001600196,0.0001439963,0.00009252381,0.000381905,0.0004093377,0.002197114,0.00008825261,0.00001770756],"category_scores_gemma":[0.00003606886,0.0001112567,0.0000748915,0.0004608225,0.00005326366,0.000671069,0.0007456096,0.0002064773,0.0009294673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000395943,"about_ca_system_score_gemma":0.00007192572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002744786,"about_ca_topic_score_gemma":0.000008715424,"domain_scores_codex":[0.9984728,0.00002877337,0.0002417981,0.0004013185,0.000336619,0.0005186839],"domain_scores_gemma":[0.9981802,0.0001603431,0.0001173068,0.001381446,0.00008154327,0.00007916288],"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":[0.0000152277,0.00006542961,0.003458892,0.00001456603,0.00004187331,0.000005213023,0.0002810624,0.003154734,0.000475165,0.3098336,0.5727757,0.1098785],"study_design_scores_gemma":[0.000394532,0.0001882112,0.0003449062,0.00004046415,0.00000379168,0.00002514979,0.0000593355,0.4484054,0.003423593,0.02355962,0.5231356,0.0004194035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003435441,0.0003731797,0.9799397,0.00438553,0.00112686,0.0004161713,0.000009879853,0.001137804,0.009175458],"genre_scores_gemma":[0.727847,0.0004326254,0.2366728,0.003973438,0.0001860135,0.00005090568,0.00007806819,0.00006371672,0.03069531],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7432668,"threshold_uncertainty_score":0.9998484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009831651047282952,"score_gpt":0.2398260214516423,"score_spread":0.2299943704043593,"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."}}