{"id":"W4234941255","doi":"10.1109/map.2020.2982238","title":"Table of Contents","year":2020,"lang":"en","type":"article","venue":"IEEE Antennas and Propagation Magazine","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; University of Toronto; Royal Military College of Canada","funders":"","keywords":"Table (database); Computer science; Data mining","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":["insufficient_payload"],"category_scores_codex":[0.0001413362,0.00007005771,0.000235017,0.00004493418,0.00004840771,0.00002694614,0.00006859758,0.00002515929,0.00113395],"category_scores_gemma":[0.00004852542,0.00007145806,0.0000334418,0.0001248219,0.00007778306,0.0001641325,0.00002831812,0.00003697412,0.002136298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000489904,"about_ca_system_score_gemma":0.000004083717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002078836,"about_ca_topic_score_gemma":0.000001658807,"domain_scores_codex":[0.999323,0.000003683031,0.0003159883,0.0002264848,0.00001884157,0.0001120701],"domain_scores_gemma":[0.99963,0.000009724105,0.0001846394,0.00007852677,0.00003942128,0.00005765857],"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":[0.0003054718,0.0002413773,0.1143487,0.0005474377,0.0003645303,0.00001443108,0.005745774,0.0001273774,0.02837014,0.2142717,0.6295153,0.006147752],"study_design_scores_gemma":[0.00274373,0.0003570865,0.0236329,0.00004824099,0.000024255,0.000003994816,0.0007528007,0.0267708,0.00380141,0.005347093,0.9359484,0.0005693386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3947947,0.006834315,0.01319666,0.008255339,0.00338389,0.0008789847,0.001569643,0.0001293674,0.5709571],"genre_scores_gemma":[0.977603,0.0003217332,0.0002078834,0.0004538227,0.00006364613,0.000004329247,0.000006249969,0.00000668673,0.02133268],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5828083,"threshold_uncertainty_score":0.9997792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06031131795496129,"score_gpt":0.2150034614290623,"score_spread":0.154692143474101,"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."}}