{"id":"W2330658783","doi":"10.1109/mspec.2014.6882985","title":"Mobile's millimeter-wave makeover","year":2014,"lang":"en","type":"article","venue":"IEEE Spectrum","topic":"ICT Impact and Policies","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Joke; Real estate; Telecommunications; Bidding; Advertising; Business; Mobile telephony; GSM; Engineering; Computer security; Computer science; Marketing; Commerce; Mobile radio; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005292716,0.0005613816,0.0001198097,0.0006162904,0.001361873,0.002888599,0.000406822,0.001311118,0.0960264],"category_scores_gemma":[0.001441892,0.0002381547,0.0002212199,0.000482829,0.0004026591,0.002087162,0.001369213,0.001486485,0.03589306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006633992,"about_ca_system_score_gemma":0.0007572894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004577674,"about_ca_topic_score_gemma":0.007414059,"domain_scores_codex":[0.9995508,0.00002932167,0.000008362877,0.00005164457,0.0002483535,0.0001116032],"domain_scores_gemma":[0.99946,0.00007783771,0.00003148481,0.0000906265,0.0001912877,0.0001487418],"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":[0.0001302785,0.00005084135,0.0008744398,0.00005429383,0.000006475228,0.0002486859,0.0002636639,0.0001897247,0.003493537,0.04112508,0.7848928,0.1686701],"study_design_scores_gemma":[0.000006709491,0.00002223959,0.0004729159,0.00001628423,0.00000214436,0.00009804157,0.00005679089,0.0001210563,0.0006602501,0.0009944448,0.9975443,0.00000464955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.009047686,0.003226225,0.006274742,0.02210045,0.004335184,0.00009799077,0.00144295,0.004176571,0.9492984],"genre_scores_gemma":[0.05457231,0.002370992,0.001700482,0.006090649,0.001032504,0.00005626277,0.0008431986,0.0004635194,0.9328701],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.0960264,"threshold_uncertainty_score":0.3212403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00976381658667697,"score_gpt":0.2110456752823426,"score_spread":0.2012818586956656,"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."}}