{"id":"W4210460994","doi":"","title":"Local balance in graph decompositions","year":2021,"lang":"en","type":"article","venue":"UVic’s Research and Learning Repository (University of Victoria)","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Null graph; Combinatorics; Butterfly graph; Voltage graph; Windmill graph; Graph; Line graph; Colored; Vertex (graph theory); Regular graph; Graph property; Discrete mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004002316,0.00007954414,0.00016839,0.0001941362,0.0003490142,0.00003211788,0.0001351477,0.00009841855,0.00004791545],"category_scores_gemma":[0.00002219728,0.0001068182,0.00004834927,0.0005528522,0.0001984776,0.0001431083,0.00006077284,0.0006242252,0.00001280038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007029321,"about_ca_system_score_gemma":0.00003996473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001633053,"about_ca_topic_score_gemma":0.0001116576,"domain_scores_codex":[0.9988681,0.0003264539,0.000103876,0.0001952844,0.0002422468,0.0002640239],"domain_scores_gemma":[0.999356,0.0001933476,0.00001990208,0.000162987,0.0001463657,0.0001214086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006486382,0.0008146787,0.2598266,0.002341706,0.000722794,0.005685128,0.03015532,0.08461785,0.5657633,0.03442894,0.006168596,0.008826515],"study_design_scores_gemma":[0.008233327,0.001803856,0.4082246,0.002735339,0.0001036769,0.0008741872,0.11843,0.1165197,0.04238043,0.01366273,0.2846753,0.002356807],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789902,0.00159988,0.00239366,0.00003224458,0.0003121389,0.00007117223,0.000002223825,0.0000814712,0.01651702],"genre_scores_gemma":[0.9982613,0.0002037337,0.0001612293,0.000001100031,0.0000519104,5.746561e-7,0.0000068846,0.000009938071,0.001303306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5233828,"threshold_uncertainty_score":0.435592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277981496557643,"score_gpt":0.2314080063095751,"score_spread":0.2186281913439987,"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."}}