{"id":"W4242200248","doi":"10.1109/emr.2019.2938300","title":"IEEE Technology and Engineering Management Society TEMS Administrative Committee","year":2019,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Engineering management; Engineering; Management; Economics","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":[0.01373389,0.0008874045,0.001021889,0.004268044,0.003390658,0.005557383,0.001915377,0.005651678,0.05483982],"category_scores_gemma":[0.01424112,0.0006592979,0.001117105,0.002049801,0.0009035221,0.002079772,0.002185793,0.004861485,0.05917166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002870244,"about_ca_system_score_gemma":0.01941645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009223077,"about_ca_topic_score_gemma":0.01514551,"domain_scores_codex":[0.9922405,0.0008069184,0.0006373377,0.0004853153,0.004882379,0.0009474324],"domain_scores_gemma":[0.9347462,0.002485702,0.001898472,0.002330471,0.05452495,0.004014251],"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":[0.00002885786,0.0000797162,0.0002915464,0.0001497108,0.000008294974,0.0000455178,0.00002946584,0.00009381897,0.0006603577,0.003407543,0.9515467,0.04365848],"study_design_scores_gemma":[0.00001811437,0.00004122415,0.001659533,0.0001819629,0.00001923922,0.00004468954,0.0000636128,0.0002529222,0.0007022052,0.0006503376,0.9963512,0.00001480322],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007085704,0.01950563,0.01812967,0.2409531,0.1751255,0.004192129,0.003205624,0.002087054,0.5297156],"genre_scores_gemma":[0.01202925,0.01008682,0.00576088,0.02009423,0.02252196,0.001140895,0.002409774,0.0002859864,0.9256701],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05483982,"threshold_uncertainty_score":0.1834575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008862074356026525,"score_gpt":0.2270002964010077,"score_spread":0.2181382220449811,"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."}}