{"id":"W4364375125","doi":"10.1109/mmm.2023.3242913","title":"IMS2023 Connected Future Summit","year":2023,"lang":"en","type":"article","venue":"IEEE Microwave Magazine","topic":"International Science and Diplomacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Summit; Political science; Telecommunications; Computer science; Engineering; Geography; Cartography","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":[0.003659199,0.001581192,0.0006874157,0.001890791,0.002804518,0.009145039,0.001478807,0.003574649,0.2707649],"category_scores_gemma":[0.005617497,0.0003601795,0.0008114564,0.001350913,0.0005398384,0.004100513,0.004263296,0.003290228,0.2667572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001952935,"about_ca_system_score_gemma":0.004473765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006986039,"about_ca_topic_score_gemma":0.02244884,"domain_scores_codex":[0.9988806,0.0001059772,0.00003580335,0.0001000299,0.0005954331,0.0002821533],"domain_scores_gemma":[0.9955408,0.0002120826,0.000135187,0.000178507,0.001820496,0.00211293],"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":[0.00003222039,0.00002252411,0.00006993262,0.0000382847,0.000002467601,0.00002828559,0.00001086663,0.00003849816,0.0002342288,0.001093928,0.99014,0.008288837],"study_design_scores_gemma":[0.00001169593,0.00003693506,0.0004348779,0.00005488407,0.000004471229,0.00002370637,0.00006418715,0.0002221734,0.0003659214,0.0005987559,0.9981707,0.00001163803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003331919,0.002907895,0.005664575,0.02946102,0.1005138,0.0006182348,0.02606128,0.008374315,0.8230669],"genre_scores_gemma":[0.01167663,0.001736382,0.00316456,0.008515402,0.0145931,0.0003559983,0.02997431,0.002129395,0.9278543],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2707649,"threshold_uncertainty_score":0.9057989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0266643888730479,"score_gpt":0.3284990519557184,"score_spread":0.3018346630826705,"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."}}