{"id":"W3131335373","doi":"10.1109/mpel.2020.3047286","title":"Forging Ahead with Excellence and Growth [President's Message]","year":2021,"lang":"en","type":"article","venue":"IEEE Power Electronics Magazine","topic":"Organizational Learning and Leadership","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Excellence; Forging; Management; Operational excellence; Computer science; Engineering; Political science; Operations research; Operations management; Economics; Law; Mechanical engineering","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":[0.0022858,0.0007742207,0.000620563,0.0003364983,0.003129159,0.01021896,0.0006818381,0.009682554,0.01902333],"category_scores_gemma":[0.009556592,0.0003045178,0.0004408337,0.000497552,0.001935304,0.00532072,0.002092791,0.01866292,0.01618681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001269311,"about_ca_system_score_gemma":0.005270531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002807063,"about_ca_topic_score_gemma":0.007849793,"domain_scores_codex":[0.9982925,0.0003038593,0.00008680388,0.0001717893,0.0008182582,0.0003268411],"domain_scores_gemma":[0.9942556,0.0009654292,0.000323856,0.0001637619,0.001954454,0.002336965],"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":[0.00000367299,0.000007029736,0.00004914664,0.0000205651,0.000002275571,0.00002686885,0.00004061984,0.000006191693,0.00003311172,0.001781599,0.9907854,0.007243542],"study_design_scores_gemma":[0.000007770169,0.00001956461,0.0006141551,0.0001052716,0.000004670368,0.0000761326,0.0002584617,0.00004121453,0.0000806356,0.001853675,0.9969246,0.00001385885],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0003299393,0.004543394,0.0004058566,0.8333037,0.1424604,0.00002201376,0.00007454868,0.0001395013,0.01872067],"genre_scores_gemma":[0.01037978,0.008618515,0.00114894,0.8002495,0.1085347,0.00008679866,0.0001106101,0.0001489329,0.07072232],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.01902333,"threshold_uncertainty_score":0.0636394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008357530217522282,"score_gpt":0.1970884724419304,"score_spread":0.1887309422244081,"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."}}