{"id":"W4247089014","doi":"10.1109/emr.2018.2831350","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; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004037792,0.0003134706,0.0003466826,0.0002067933,0.00008675505,0.0001448371,0.0009739118,0.0000658994,0.00001148987],"category_scores_gemma":[0.000007370528,0.0003005937,0.0001219761,0.0007021322,0.00004862901,0.000279157,0.0003932013,0.000212524,0.00007533906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006510728,"about_ca_system_score_gemma":0.000004733978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001921907,"about_ca_topic_score_gemma":3.524025e-7,"domain_scores_codex":[0.9984267,0.0000109062,0.0003528864,0.0005182655,0.0002526139,0.000438614],"domain_scores_gemma":[0.9990882,0.00002205994,0.00009251734,0.0006625759,0.00004799324,0.00008670142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003954274,0.0001742408,0.00004812788,0.02283028,0.00147612,0.0003250162,0.0005029876,0.0009159183,0.0008983973,0.6689072,0.1178638,0.186054],"study_design_scores_gemma":[0.0004043016,0.0001990779,0.0002004904,0.006466022,0.000136531,0.0000534959,0.00002660931,0.07465807,0.001340752,0.0003272156,0.915409,0.0007784123],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001560426,0.01452919,0.9687905,0.00313838,0.002202191,0.001207321,0.0000021033,0.00113028,0.007439656],"genre_scores_gemma":[0.3521957,0.06376206,0.5712978,0.004212188,0.0007792276,0.0006100525,0.000005419041,0.0001414103,0.006996249],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7975452,"threshold_uncertainty_score":0.9999446,"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."}}