{"id":"W4399620015","doi":"10.1109/mias.2024.3391517","title":"Reaching Out to Members Beyond North America [President’s Message]","year":2024,"lang":"en","type":"article","venue":"IEEE Industry Applications Magazine","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Political science; Telecommunications; Engineering; Public administration; Computer science","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":[0.0003793575,0.0001401516,0.0001490705,0.00004817663,0.0006722312,0.0003277675,0.0006005229,0.0001972237,0.0005105953],"category_scores_gemma":[0.00009710248,0.0001413613,0.00007380182,0.001578275,0.0002751047,0.0003629064,0.00005431278,0.0006473489,0.001663924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002454709,"about_ca_system_score_gemma":0.0003574484,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006312461,"about_ca_topic_score_gemma":0.02136123,"domain_scores_codex":[0.9982041,0.0000693335,0.0002411252,0.0004704446,0.0005812316,0.000433794],"domain_scores_gemma":[0.9990733,0.0001482959,0.00007817589,0.0003042865,0.00007506113,0.0003208601],"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":[0.000006124216,0.00009635343,0.004293407,0.00002190375,0.00004233704,0.00001894053,0.02686191,0.0008308069,0.0006985199,0.0187171,0.6973641,0.2510485],"study_design_scores_gemma":[0.00003688703,0.00001252456,0.003098935,0.00002581401,0.00001874481,7.483119e-7,0.002075723,0.00006437235,0.00005130664,0.001308131,0.9931139,0.0001929064],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2313311,0.001134317,0.01541626,0.1324637,0.002687546,0.002386576,0.000286754,0.001280259,0.6130135],"genre_scores_gemma":[0.9269957,0.0001841991,0.001066018,0.001774538,0.002361767,0.0006216198,0.00001482643,0.00002986506,0.06695148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6956646,"threshold_uncertainty_score":0.9991134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03402444542647472,"score_gpt":0.3415456860652848,"score_spread":0.3075212406388101,"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."}}