{"id":"W2891465282","doi":"10.1186/s40649-018-0055-9","title":"Adding ReputationRank to member promotion using skyline operator in social networks","year":2018,"lang":"en","type":"article","venue":"Computational Social Networks","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Novelis (Canada)","funders":"Fundamental Research Funds for the Central Universities; Nanjing University of Aeronautics and Astronautics; Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Skyline; Promotion (chess); Operator (biology); Computer science; Business; Political science; Biology; Data mining; Genetics","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":[0.0004844808,0.0002574119,0.0003879221,0.0001686532,0.0008864328,0.0001636667,0.000209841,0.0001263704,0.0004772346],"category_scores_gemma":[0.00001049655,0.0003008985,0.0001728878,0.001273907,0.0001099273,0.0002524373,0.0001535134,0.0003045279,0.00001524044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000195439,"about_ca_system_score_gemma":0.00008111061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009246263,"about_ca_topic_score_gemma":0.00004978531,"domain_scores_codex":[0.9979041,0.0002124381,0.0006169677,0.000464754,0.0003211704,0.0004805599],"domain_scores_gemma":[0.9990609,0.0001159797,0.0002263523,0.000102282,0.0004001451,0.0000943276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003890919,0.0001488903,0.008501893,0.000002623122,0.0000945975,0.000001748317,0.0006538254,0.9413444,0.00001455327,0.02066249,0.008157607,0.0203784],"study_design_scores_gemma":[0.0003839765,0.00004080256,0.01376637,0.00003547892,0.00004059422,6.590761e-7,0.00008507081,0.9705306,0.000006022668,0.01385742,0.0009231412,0.0003298678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1123362,0.00002153415,0.8848121,0.0004425551,0.000223016,0.0004099231,0.00001025309,0.0001107647,0.001633659],"genre_scores_gemma":[0.9743651,3.374301e-7,0.01466137,0.0003658891,0.01012344,0.00005390881,0.0003408238,0.00004523929,0.00004388803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8701507,"threshold_uncertainty_score":0.9999443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03746973910793022,"score_gpt":0.34414050124533,"score_spread":0.3066707621373997,"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."}}