{"id":"W4400576495","doi":"10.3390/a17070310","title":"Messy Broadcasting in Grid","year":2024,"lang":"en","type":"article","venue":"Algorithms","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Distributed computing; Scalability; Robustness (evolution); Grid; Broadcasting (networking); Fault tolerance; Node (physics); Focus (optics); Theoretical computer science; Set (abstract data type); Computer network; Database","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":[],"consensus_categories":[],"category_scores_codex":[0.0003927569,0.0001040565,0.0001277987,0.0001190276,0.00004380341,0.0003610883,0.0005361873,0.00004436952,0.000007726482],"category_scores_gemma":[0.00001896553,0.00009416057,0.00004844326,0.000708458,0.00001291557,0.0002714023,0.0001547737,0.0001632432,0.0002678993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003842351,"about_ca_system_score_gemma":0.00005819673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009571946,"about_ca_topic_score_gemma":0.00000361639,"domain_scores_codex":[0.9989277,0.00004821193,0.0002093923,0.0003514348,0.0001839248,0.0002793329],"domain_scores_gemma":[0.9995239,0.0001185355,0.00002141284,0.0002615686,0.00002054488,0.00005406893],"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":[0.000001952975,0.00009215285,0.00137538,0.0002058174,0.00005654295,0.002463618,0.00376999,0.00978625,0.0001739292,0.07021745,0.03546073,0.8763962],"study_design_scores_gemma":[0.0001014566,0.00002311687,0.0007048201,0.0001782054,0.000001536424,0.0001397844,0.00001627898,0.900578,0.00004834387,0.001079801,0.09697196,0.0001566547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00637919,0.002852389,0.9707131,0.0007559295,0.006972997,0.0001214265,0.000007436224,0.0007750689,0.01142248],"genre_scores_gemma":[0.9789618,0.00001237373,0.01929823,0.0001014304,0.0009716747,0.00001111109,0.000009529178,0.00001236985,0.0006214766],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9725826,"threshold_uncertainty_score":0.3839757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01458267415167536,"score_gpt":0.2630596049171663,"score_spread":0.2484769307654909,"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."}}