{"id":"W4234306647","doi":"10.1109/emr.2019.2947891","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; Business; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01373388,0.0008874045,0.001021889,0.004268042,0.003390657,0.00555738,0.001915373,0.005651676,0.05483986],"category_scores_gemma":[0.01424112,0.0006592979,0.001117105,0.0020498,0.0009035221,0.00207977,0.002185791,0.004861481,0.05917163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002870243,"about_ca_system_score_gemma":0.01941643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009223068,"about_ca_topic_score_gemma":0.01514549,"domain_scores_codex":[0.9922405,0.0008069173,0.0006373374,0.0004853151,0.004882376,0.0009474315],"domain_scores_gemma":[0.9347462,0.002485702,0.001898469,0.002330471,0.05452492,0.004014247],"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":[0.00002885789,0.0000797162,0.0002915469,0.0001497111,0.000008294997,0.00004551789,0.0000294659,0.00009381906,0.0006603581,0.003407543,0.9515467,0.04365852],"study_design_scores_gemma":[0.00001811437,0.0000412242,0.001659535,0.0001819631,0.00001923926,0.00004468954,0.00006361291,0.0002529224,0.0007022048,0.0006503379,0.9963512,0.00001480321],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007085702,0.01950562,0.01812967,0.2409531,0.1751253,0.004192126,0.00320562,0.002087052,0.5297157],"genre_scores_gemma":[0.01202927,0.01008682,0.005760875,0.02009421,0.02252195,0.001140895,0.002409772,0.0002859865,0.9256703],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9451602,"threshold_uncertainty_score":0.1834576,"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."}}