{"id":"W4254329011","doi":"10.1109/emr.2018.2870237","title":"IEEE Technology and Engineering Management Society TEMS Administrative Committee","year":2018,"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; Business; Management; Engineering; Accounting; Computer security; Computer science; 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":[0.01351446,0.0008580662,0.0009172016,0.003910026,0.003195217,0.005447627,0.001876179,0.005251647,0.0533274],"category_scores_gemma":[0.01519804,0.0005966432,0.001070025,0.001927818,0.0008911896,0.002235057,0.002346545,0.004767967,0.05245196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002897226,"about_ca_system_score_gemma":0.01835822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008213953,"about_ca_topic_score_gemma":0.01315802,"domain_scores_codex":[0.9922874,0.0008006524,0.0006404021,0.0004982646,0.00482293,0.0009503739],"domain_scores_gemma":[0.9354683,0.002437475,0.001905141,0.002349215,0.05376768,0.004072136],"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":[0.00002702052,0.00007176874,0.0003151393,0.000151039,0.000008460826,0.00004946264,0.00003144346,0.0001014942,0.0006626279,0.003874777,0.9481395,0.04656743],"study_design_scores_gemma":[0.00001472729,0.0000337415,0.001494753,0.0001738081,0.00001772131,0.00004870044,0.00006663128,0.0002461598,0.0006861546,0.0007368615,0.9964668,0.00001408669],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007076535,0.02146326,0.0197623,0.2658822,0.1820506,0.003286849,0.002837334,0.00196226,0.4956788],"genre_scores_gemma":[0.01538461,0.01181545,0.006472411,0.02287375,0.02547031,0.001077672,0.002475569,0.0003204676,0.9141096],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0533274,"threshold_uncertainty_score":0.178398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01265362023187347,"score_gpt":0.2456597278248083,"score_spread":0.2330061075929348,"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."}}