{"id":"W4323646023","doi":"10.1109/fnwf55208.2022.00005","title":"Welcome Message","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002795716,0.00003448531,0.00003931689,0.00004205752,0.00007138563,0.000003329828,0.0002780887,0.000008889721,0.00133539],"category_scores_gemma":[0.000004284047,0.00003730714,0.00001159132,0.0001329619,0.00001165019,0.00003810654,0.0001953829,0.0001346356,0.0000309377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004177049,"about_ca_system_score_gemma":0.000001350665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.542295e-7,"about_ca_topic_score_gemma":6.59125e-7,"domain_scores_codex":[0.9997783,0.000005871706,0.00005416029,0.00003753158,0.00005496319,0.00006922709],"domain_scores_gemma":[0.9996592,0.0000178016,0.000005055251,0.0003076217,0.000002847106,0.000007501086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001234385,0.00001919307,0.0002324965,0.000009949242,0.00001754971,0.000003895809,0.0001011298,0.7772754,0.007285073,0.106034,0.0168794,0.09214066],"study_design_scores_gemma":[0.0002158386,0.00002393898,0.000654627,0.000001411131,0.000001498609,0.00001062479,0.001609993,0.07243088,0.02688491,0.01007273,0.8878109,0.0002825868],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07522035,0.002892409,0.2917231,0.001741714,0.0007618851,0.0002636424,0.00001707925,0.02019627,0.6071836],"genre_scores_gemma":[0.9944611,0.00006373549,0.004743113,0.0000314516,0.000003381435,0.00006796905,0.00000279128,0.00001084482,0.0006156333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9192407,"threshold_uncertainty_score":0.9995775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206496434612362,"score_gpt":0.2196327342634222,"score_spread":0.2075677699172986,"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."}}