{"id":"W4366958160","doi":"10.1007/978-3-031-30448-4_20","title":"Broadcasting in Split Graphs","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Broadcasting (networking); Network topology; Heuristic; Scope (computer science); Node (physics); Time complexity; Computer network; Distributed computing; Theoretical computer science; Algorithm","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":[0.001602123,0.0004618643,0.000564843,0.001579367,0.0001952931,0.0006395694,0.002814964,0.0003483756,0.00001412312],"category_scores_gemma":[0.00009643084,0.0004345826,0.0001558474,0.001476647,0.0002896495,0.0005071432,0.001180418,0.0009876718,0.0001411011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002759432,"about_ca_system_score_gemma":0.0002642436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001113905,"about_ca_topic_score_gemma":0.0005511287,"domain_scores_codex":[0.9960095,0.00004987033,0.0007362537,0.001569939,0.0008350026,0.0007994071],"domain_scores_gemma":[0.9977005,0.0005946647,0.0002659052,0.001137871,0.0001673881,0.0001336749],"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":[0.000006213229,0.00002104644,0.0003654576,0.00006669146,0.00001158216,0.0003467138,0.001431012,0.08513533,0.00003630259,0.2145127,0.0000969719,0.69797],"study_design_scores_gemma":[0.0002052389,0.0001060247,0.0002766769,0.0009223915,0.000001888921,0.00009294057,3.366004e-7,0.7851579,0.00005327491,0.2115872,0.001041266,0.0005548474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002041157,0.0001828534,0.9848923,0.0003710819,0.005734119,0.00032574,0.000001864994,0.0002776092,0.008010314],"genre_scores_gemma":[0.7812319,0.0001213455,0.2068878,0.002744202,0.002190759,0.00005443029,0.000009342082,0.000169239,0.006590962],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7810277,"threshold_uncertainty_score":0.9998106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02658470024826212,"score_gpt":0.2460559401552583,"score_spread":0.2194712399069961,"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."}}