{"id":"W2991627008","doi":"10.1007/s00500-019-04451-z","title":"A network representation method based on edge information extraction","year":2019,"lang":"en","type":"article","venue":"Soft Computing","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Fundamental Research Funds for the Central Universities; Civil Aviation University of China; National Natural Science Foundation of China","keywords":"Enhanced Data Rates for GSM Evolution; Computer science; Node (physics); Representation (politics); Cluster analysis; Field (mathematics); Data mining; Artificial intelligence; Graph; Theoretical computer science; Mathematics","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":[0.0004713705,0.0008694092,0.0009215693,0.002761958,0.0005622339,0.001141215,0.001288368,0.0009829955,0.004075439],"category_scores_gemma":[0.001896833,0.0003724427,0.0008885425,0.00265721,0.0003146005,0.001837429,0.0008493695,0.001311018,0.001757749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004669055,"about_ca_system_score_gemma":0.0006917188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00322065,"about_ca_topic_score_gemma":0.00396749,"domain_scores_codex":[0.999619,0.00007239616,0.00002772444,0.000103244,0.0001466139,0.00003100244],"domain_scores_gemma":[0.9994634,0.0001803221,0.00004828651,0.00009240641,0.0001900354,0.00002562739],"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":[0.0001383223,0.0001438344,0.0006098985,0.000227474,0.0001094994,0.0001304966,0.00007137168,0.08046323,0.02099059,0.0254615,0.01018248,0.8614712],"study_design_scores_gemma":[0.00001391336,0.00003314974,0.0003240739,0.00002342654,0.00005274754,0.0000854663,0.00001698489,0.9757833,0.005848909,0.01372412,0.004073997,0.00001997282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003834869,0.0001589491,0.993205,0.0001135722,0.0000815491,0.00006721039,0.0002420364,0.0009303298,0.001366604],"genre_scores_gemma":[0.1271725,0.0004925916,0.8632364,0.0001473037,0.0001331558,0.0002775644,0.001538968,0.0002586432,0.006742815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004075439,"threshold_uncertainty_score":0.01363367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01626953300654038,"score_gpt":0.304752218662904,"score_spread":0.2884826856563636,"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."}}