{"id":"W4403407849","doi":"10.1109/icc51166.2024.10622909","title":"SocialNetView: Optimization of Wireless Communication for Social Media Interaction","year":2024,"lang":"en","type":"article","venue":"","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Wireless; Social media; Human–computer interaction; Telecommunications; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005925713,0.001348125,0.0006477995,0.0007536229,0.000394798,0.0005801166,0.0007997566,0.0005577857,0.002998784],"category_scores_gemma":[0.001683726,0.0002680069,0.0004105093,0.0005384717,0.0002979093,0.0007734402,0.0006918348,0.0003997586,0.0005842614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005566152,"about_ca_system_score_gemma":0.000590177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003831329,"about_ca_topic_score_gemma":0.006013298,"domain_scores_codex":[0.9994999,0.0001707772,0.00002074199,0.00008298259,0.0001490776,0.00007647412],"domain_scores_gemma":[0.9994333,0.0002977139,0.00006774437,0.00005012733,0.000108034,0.00004291267],"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":[0.0003359939,0.0004655206,0.00462682,0.0002344564,0.0001432223,0.0001759137,0.0001296932,0.6819307,0.02581812,0.003834501,0.005653977,0.276651],"study_design_scores_gemma":[0.00002221491,0.0001462732,0.0007105861,0.00000614144,0.0000230166,0.00005822475,0.00003060502,0.9934221,0.002787265,0.0006243605,0.002158147,0.0000111481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07137304,0.0006299405,0.9171566,0.0001808871,0.00009438186,0.0002310171,0.0001708471,0.002660071,0.007503116],"genre_scores_gemma":[0.8542028,0.000264745,0.1406664,0.00008186304,0.00004030671,0.000319166,0.0002094371,0.0002606519,0.003954676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003831329,"threshold_uncertainty_score":0.01003188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.046023991445067,"score_gpt":0.3026482239759778,"score_spread":0.2566242325309108,"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."}}