{"id":"W4281662046","doi":"10.1109/map.2022.3162125","title":"Masthead","year":2022,"lang":"en","type":"paratext","venue":"IEEE Antennas and Propagation Magazine","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Engineering; Electrical engineering; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005907375,0.0006002516,0.0006748369,0.00049951,0.0003919172,0.000188985,0.0003264787,0.000263542,0.05557342],"category_scores_gemma":[0.00004989426,0.000559981,0.0001487255,0.0006413035,0.0001886165,0.0002461181,0.0001441122,0.0008870324,0.1614121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001739139,"about_ca_system_score_gemma":0.0002191875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003797762,"about_ca_topic_score_gemma":0.00002602978,"domain_scores_codex":[0.9969782,0.0002931444,0.0006236348,0.0008795389,0.0006838805,0.0005415691],"domain_scores_gemma":[0.9983756,0.00007839101,0.0005383253,0.0005773026,0.0002465757,0.000183813],"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":[0.0001765843,0.00008371175,0.00001873988,0.0002564196,0.00007999888,0.00004273509,0.0001496996,0.00005260486,0.03648266,0.0001015523,0.9586819,0.003873413],"study_design_scores_gemma":[0.0006031923,0.0002806054,0.0002158889,0.0001580831,0.00008904355,0.0001420084,0.00004245528,0.0007600896,0.0005327753,0.00008632171,0.9963854,0.0007041257],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01028047,0.01926976,0.002108959,0.002242696,0.014162,0.003924762,0.007922489,0.0006897763,0.9393991],"genre_scores_gemma":[0.02321528,0.002348777,0.0002642302,0.0005669174,0.001497422,0.0003480104,0.003006172,0.0004208325,0.9683324],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1058387,"threshold_uncertainty_score":0.9996852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02481722081490441,"score_gpt":0.2747004102807525,"score_spread":0.2498831894658481,"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."}}