{"id":"W4255350475","doi":"10.1109/map.2019.2906716","title":"Staff Listing","year":2019,"lang":"en","type":"article","venue":"IEEE Antennas and Propagation Magazine","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; University of Toronto; Royal Military College of Canada","funders":"","keywords":"Listing (finance); Computer science; Business; Finance","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":[0.0003686261,0.0001602407,0.0001838054,0.0001180368,0.00008780552,0.00009719885,0.00008523846,0.00005486585,0.0003974357],"category_scores_gemma":[0.00005833061,0.0001377983,0.00003478585,0.0002870183,0.00005605218,0.0003525276,0.0000284959,0.0001329515,0.00825963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002599934,"about_ca_system_score_gemma":0.00002957195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001202291,"about_ca_topic_score_gemma":0.00001863474,"domain_scores_codex":[0.9988726,0.00005496659,0.0002509379,0.0003210212,0.0002344138,0.0002660952],"domain_scores_gemma":[0.9993092,0.00004451627,0.0001395715,0.000232007,0.0001859369,0.00008876591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001125753,0.00007158933,0.01514081,0.0001084162,0.00002270124,0.0000136389,0.0002977187,0.00003632826,0.9676005,0.002188697,0.00528287,0.009124186],"study_design_scores_gemma":[0.01150228,0.002781052,0.2171013,0.000912498,0.0002406166,0.0005316081,0.001184321,0.2153036,0.101058,0.005052651,0.4407825,0.003549543],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800943,0.0001496933,0.0007393734,0.0003766479,0.0003415113,0.0004429423,0.00003109489,0.0002187515,0.0176057],"genre_scores_gemma":[0.9896307,0.00001956679,0.0006167291,0.0001029535,0.0001527743,0.000009984393,0.00003225495,0.00005234847,0.009382707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8665425,"threshold_uncertainty_score":0.9925126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01683570788103357,"score_gpt":0.2519246034471437,"score_spread":0.2350888955661101,"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."}}