{"id":"W4240852817","doi":"10.1109/tmtt.2019.2891977","title":"Guest Editorial","year":2019,"lang":"en","type":"editorial","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Advanced Data and IoT Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Telecommunications; Computer science; Engineering; Electrical engineering","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0003391269,0.0004932145,0.0004670911,0.0002983771,0.000120318,0.00006707513,0.0003533017,0.001700707,0.00002342847],"category_scores_gemma":[0.00003855658,0.0004788275,0.0001248535,0.0001302357,0.0001961995,0.0002301109,0.00000476171,0.001853993,0.00007172797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001123233,"about_ca_system_score_gemma":0.00003979626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000356897,"about_ca_topic_score_gemma":0.000005163253,"domain_scores_codex":[0.9986333,0.00006190321,0.0002957571,0.0004255984,0.0002575899,0.0003258011],"domain_scores_gemma":[0.9984087,0.0007771729,0.00005748142,0.0006229393,0.00007937522,0.00005435834],"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":[0.00009929032,0.0000267014,1.266757e-8,0.000148878,0.00007638942,0.000003627478,0.00002552678,0.00001987393,0.04742521,0.0001524277,0.934451,0.01757108],"study_design_scores_gemma":[0.0001055636,0.0001165965,4.316618e-9,0.0001216876,0.00004788688,0.000002155174,0.0000171338,8.992322e-7,0.413468,0.002841599,0.5829659,0.0003125373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003944487,0.0002867282,0.2188715,0.000003970985,0.7760851,0.0002869008,0.000763969,0.002681147,0.0009812431],"genre_scores_gemma":[0.002420472,0.005528484,0.001616541,0.00001212526,0.9890385,0.0001274609,0.0001283984,0.0001557161,0.0009722939],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.3660428,"threshold_uncertainty_score":0.9997663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004448129388059672,"score_gpt":0.2280484787188695,"score_spread":0.2236003493308098,"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."}}