{"id":"W4248538422","doi":"10.1109/emr.2020.2974298","title":"IEEE Technology and Engineering Management Society TEMS Administrative Committee","year":2020,"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; Management; Business; 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":[0.0002452042,0.0003116652,0.0003818116,0.0001173014,0.00005614603,0.000137379,0.0009645136,0.00005812691,0.000008015807],"category_scores_gemma":[0.000009560194,0.0003056963,0.0001392711,0.0007298162,0.0000212606,0.0002628483,0.0004047361,0.00026763,0.00004888144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004604625,"about_ca_system_score_gemma":0.000004462254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001007735,"about_ca_topic_score_gemma":7.965418e-8,"domain_scores_codex":[0.9984711,0.00001063273,0.0003564524,0.0005298315,0.0002525172,0.0003794488],"domain_scores_gemma":[0.9992864,0.00002191971,0.00008779392,0.0004491496,0.00002625152,0.0001285262],"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":[0.000005507631,0.0001566898,0.00005337034,0.0551502,0.001896566,0.0008080497,0.000919836,0.009745281,0.001271975,0.6181294,0.1459336,0.1659295],"study_design_scores_gemma":[0.0004328665,0.0001463178,0.00009832873,0.004306929,0.0001425352,0.00002806224,0.00003636738,0.1705188,0.0007314569,0.0001237127,0.8226869,0.0007477329],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006737759,0.02020137,0.9599559,0.01286913,0.0009167576,0.00116049,0.000002519775,0.001177754,0.003042313],"genre_scores_gemma":[0.3331626,0.105702,0.5435833,0.01383857,0.0005536517,0.0006654116,0.000008471892,0.0001650461,0.002320915],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6767533,"threshold_uncertainty_score":0.9999395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01709874114513656,"score_gpt":0.2342380284100863,"score_spread":0.2171392872649497,"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."}}