{"id":"W2805891430","doi":"10.1016/j.dam.2018.04.022","title":"<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" id=\"mml16\" display=\"inline\" overflow=\"scroll\" altimg=\"si16.gif\"><mml:mi>k</mml:mi></mml:math>-broadcast domination and <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" id=\"mml17\" display=\"inline\" overflow=\"scroll\" altimg=\"si16.gif\"><mml:mi>k</mml:mi></mml:math>-multipacking","year":2018,"lang":"en","type":"article","venue":"Discrete Applied Mathematics","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; University of Johannesburg; National Research Foundation","keywords":"Mathematics; Vertex (graph theory); Graph; Algorithm; Discrete mathematics; Database; Combinatorics; Computer science","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":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.003696202,0.002045257,0.001324981,0.0008100395,0.002794671,0.002478433,0.004171164,0.001967201,0.0001319957],"category_scores_gemma":[0.001511256,0.002393772,0.001394615,0.001858531,0.002492764,0.002915688,0.004524742,0.002427964,0.003350054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001298513,"about_ca_system_score_gemma":0.0009609576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002893835,"about_ca_topic_score_gemma":0.0002338664,"domain_scores_codex":[0.9858026,0.000340547,0.003081508,0.00328063,0.003989087,0.003505653],"domain_scores_gemma":[0.9879557,0.002499,0.002908169,0.004793019,0.0004622311,0.00138188],"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":[0.0009547799,0.0007216685,0.000009547642,0.001759132,0.0008925638,0.0005305905,0.005978162,0.001484413,0.01007304,0.9724701,0.0009317746,0.004194223],"study_design_scores_gemma":[0.003187859,0.001100193,0.0000433644,0.001318327,0.0006907051,0.0008415023,0.002489239,0.9499254,0.02199596,0.01226439,0.004054527,0.00208851],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.934948,0.0006934279,0.05369272,0.0004772132,0.001595855,0.0005838045,0.0006002668,0.0009267654,0.006481985],"genre_scores_gemma":[0.9315051,0.000832884,0.06134747,0.001014436,0.001766032,0.001495375,0.00087742,0.0008802452,0.0002809664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9602057,"threshold_uncertainty_score":0.9998735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01952157953672921,"score_gpt":0.2670571021251731,"score_spread":0.2475355225884439,"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."}}