{"id":"W4388821120","doi":"10.1109/6gnet58894.2023.10317716","title":"6GNet 2023 Organizing Committee","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004313755,0.00006531844,0.00007016007,0.00009977336,0.00004526861,0.00001166461,0.0003032805,0.00004808125,0.0001642223],"category_scores_gemma":[0.00003864681,0.000066044,0.00001339963,0.0006346542,0.00002841532,0.00007694864,0.0001381628,0.0001224926,0.002055571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002283204,"about_ca_system_score_gemma":0.000002093231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002370657,"about_ca_topic_score_gemma":0.00001472055,"domain_scores_codex":[0.9996366,0.000004452716,0.00009321702,0.00006105504,0.0000559017,0.0001487882],"domain_scores_gemma":[0.9994602,0.00006685594,0.000007381358,0.0004361179,0.00001321748,0.00001621153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001555942,0.00001683205,0.002037155,0.00008923141,0.00007407371,0.00001680476,0.0004210831,0.2034836,0.08996736,0.05926477,0.4516626,0.1929649],"study_design_scores_gemma":[0.0005452789,0.00003254824,0.008719004,0.00005138937,0.000007046925,0.000009044402,0.004443936,0.2527426,0.2587478,0.02487105,0.4488515,0.0009788407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4229714,0.001858022,0.1691344,0.005110329,0.001044442,0.0005155854,0.00002319098,0.1124274,0.2869151],"genre_scores_gemma":[0.9932203,0.0005836107,0.004482834,0.00002947362,0.00001127997,0.00001566058,0.00001198414,0.00002871149,0.00161617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5702488,"threshold_uncertainty_score":0.9987214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01859473624726474,"score_gpt":0.232175390109575,"score_spread":0.2135806538623102,"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."}}