{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004722673,0.001358239,0.0009139555,0.0005377277,0.005329791,0.00852527,0.00130132,0.01854696,0.04788447],"category_scores_gemma":[0.01342388,0.00063451,0.001065449,0.0006096563,0.002106325,0.00819038,0.003936471,0.02318678,0.03431071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002049574,"about_ca_system_score_gemma":0.009187727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005727365,"about_ca_topic_score_gemma":0.01029195,"domain_scores_codex":[0.997264,0.0004726863,0.0001494612,0.0004376746,0.000948703,0.0007274728],"domain_scores_gemma":[0.9896231,0.001167927,0.0005382444,0.000353071,0.003949738,0.004368077],"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":[0.000006945671,0.00001148631,0.00009167765,0.0000247442,0.000002385956,0.00005501449,0.0000836562,0.000006113076,0.0000705064,0.001009672,0.9942913,0.00434649],"study_design_scores_gemma":[0.000007200514,0.00001174102,0.0004459591,0.00008120217,0.000002911861,0.00005126922,0.0003181863,0.00002019656,0.00004256558,0.0004547815,0.9985525,0.00001150113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0005001241,0.002454506,0.0003088558,0.7793558,0.1972765,0.00005439607,0.0001090284,0.0001723469,0.01976849],"genre_scores_gemma":[0.006102305,0.002618431,0.000659025,0.8187048,0.0589898,0.0002029342,0.0001597658,0.0001348526,0.1124281],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.04788447,"threshold_uncertainty_score":0.1601895,"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."}}