{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001899509,0.0001892602,0.0001738735,0.0001150023,0.0001929367,0.0003145422,0.0001347257,0.0000568986,0.0003172435],"category_scores_gemma":[0.0001219602,0.0001761624,0.00002935168,0.0005978211,0.0000520733,0.0006074819,0.00005567048,0.0002839712,0.0002681915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003375476,"about_ca_system_score_gemma":0.00009013415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002317388,"about_ca_topic_score_gemma":0.0001018655,"domain_scores_codex":[0.9987313,0.00001512112,0.0001565582,0.0003748269,0.0002866903,0.0004354976],"domain_scores_gemma":[0.9993482,0.00005383532,0.0001030067,0.0001838585,0.000290195,0.00002093858],"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":[0.0004885622,0.0007209544,0.3252707,0.001664078,0.0005454664,0.0009039628,0.001004133,0.001094263,0.0620819,0.5221757,0.08025757,0.003792674],"study_design_scores_gemma":[0.007235144,0.0003688511,0.2038985,0.0008159886,0.0007188388,0.0005325914,0.001312857,0.005456393,0.02662465,0.02777011,0.7215798,0.003686236],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9047773,0.005839538,0.007749246,0.01912409,0.0005321227,0.0002967162,0.000002285953,0.000527996,0.06115067],"genre_scores_gemma":[0.9930723,0.00007605681,0.000230031,0.001753129,0.0003935604,0.000004907984,0.0000216206,0.00005286982,0.004395527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6413223,"threshold_uncertainty_score":0.7183695,"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."}}