{"id":"W4405112666","doi":"10.1016/j.procs.2024.11.191","title":"BeComE: A Framework for Node Classification in Social Graphs","year":2024,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Node (physics); Social network (sociolinguistics); Theoretical computer science; Artificial intelligence; World Wide Web; Social media","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":[0.0006481608,0.0001916615,0.00017932,0.0005920053,0.0004064376,0.0007467775,0.001968322,0.00009247196,0.000001129753],"category_scores_gemma":[0.00007449475,0.0001806951,0.00009262616,0.00481411,0.0003053133,0.001792112,0.0003924032,0.0003291711,0.00001802804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001066101,"about_ca_system_score_gemma":0.00020837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001396883,"about_ca_topic_score_gemma":0.000003512522,"domain_scores_codex":[0.9974557,0.00002163453,0.000308766,0.001091281,0.0004743953,0.0006482266],"domain_scores_gemma":[0.9989172,0.0003537382,0.00007076568,0.000393265,0.0001471753,0.0001178956],"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":[0.000003242365,0.00002921229,0.0004173591,0.00004913242,0.000002469863,0.000006319488,0.0009101126,0.0003327638,0.0002747829,0.8413306,0.0004102335,0.1562338],"study_design_scores_gemma":[0.00008173715,0.00003789289,0.005069883,0.00006285896,0.000001534183,0.000009435731,0.000004157247,0.6403427,0.0001822414,0.3532764,0.0007552372,0.0001759877],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004872796,0.0002314105,0.9881499,0.003727994,0.002033252,0.0004048241,0.000002071489,0.0004851077,0.00009263245],"genre_scores_gemma":[0.5286478,0.00001196188,0.4704748,0.0004619021,0.0002785632,0.0001070841,0.000001031607,0.00001011783,0.000006691473],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6400099,"threshold_uncertainty_score":0.7368534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03263104684711812,"score_gpt":0.3184168328245523,"score_spread":0.2857857859774342,"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."}}