{"id":"W4236366057","doi":"10.1109/emr.2019.2917576","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; Business; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003759122,0.000315025,0.0003924948,0.0002017337,0.00004378004,0.0001348765,0.000946309,0.00006663487,0.00001490861],"category_scores_gemma":[0.000004276564,0.0003029892,0.000141948,0.0006059288,0.00001711075,0.0003010988,0.0003720441,0.000253158,0.0001232045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006881952,"about_ca_system_score_gemma":0.000004551004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001617652,"about_ca_topic_score_gemma":1.267407e-7,"domain_scores_codex":[0.9984298,0.00001030354,0.0003476006,0.000528742,0.0002659214,0.0004176824],"domain_scores_gemma":[0.9990675,0.00002707155,0.00009408214,0.0007065627,0.00002868633,0.00007605066],"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":[0.00000361218,0.0001762639,0.0001689652,0.04553561,0.00156224,0.000302743,0.000337195,0.008019255,0.001205125,0.7768411,0.05107015,0.1147778],"study_design_scores_gemma":[0.0006256001,0.0001614688,0.0003662235,0.009207028,0.0001404009,0.00005410079,0.00003845238,0.1174903,0.0007582558,0.0002612034,0.8699042,0.0009927889],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009210815,0.04140227,0.917165,0.005552842,0.004716334,0.003759498,0.000004385456,0.002113593,0.01607525],"genre_scores_gemma":[0.4876181,0.0936672,0.3976485,0.004043123,0.0003122417,0.0006911925,0.000008870838,0.0001731615,0.01583764],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.818834,"threshold_uncertainty_score":0.9999422,"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."}}