{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001083919,0.0003609957,0.0008630439,0.0006324232,0.0009205868,0.001407121,0.001185731,0.0008638893,0.002538784],"category_scores_gemma":[0.00588401,0.0003265964,0.000438315,0.001150789,0.001722113,0.002816861,0.00154755,0.001019584,0.0004580235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00181805,"about_ca_system_score_gemma":0.0008660433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004079475,"about_ca_topic_score_gemma":0.002704044,"domain_scores_codex":[0.9990101,0.0004138969,0.00004430945,0.0002005915,0.0002076422,0.0001233902],"domain_scores_gemma":[0.99767,0.001246773,0.0002590388,0.0005516041,0.0001665556,0.0001060427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002093946,0.00002683537,0.0006570328,0.0001679666,0.00002798167,0.0001009181,0.0003628284,0.3795342,0.002199661,0.5844572,0.004329363,0.02792656],"study_design_scores_gemma":[0.00004498716,0.00004968369,0.000171576,0.00001814532,0.00001269283,0.00008083539,0.0001170747,0.5912753,0.0009531616,0.4008839,0.006372705,0.00001978617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05146856,0.001137777,0.9347903,0.001170545,0.0001307772,0.00008969801,0.0001915151,0.0005873679,0.01043348],"genre_scores_gemma":[0.8708736,0.001193896,0.1217799,0.0002523924,0.0001111544,0.0001762299,0.0001658668,0.0001526676,0.005294344],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004079475,"threshold_uncertainty_score":0.01319093,"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."}}