Bibliographic record
Abstract
CERTIFICATE OF PROFESSIONAL COMPETENCES Digital Competences in the Use of E-learning Platforms: E-Media Specialist Romania -Ministry of Education and Research The George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș, acting upon the proposal of the Department of Postgraduate Studies, hereby certifies that Simion I. Costea has successfully completed the postgraduate continuing professional development programme entitled Digital Competences in the Use of E-learning Platforms corresponding to Level 6 of the Romanian National Qualifications Framework (NQF/CNC) and the European Qualifications Framework (EQF), within the academic field of Computer Science The programme comprised 190 hours and 19 ECTS credits. Professional qualification: E-Media Specialist The holder successfully passed the final examination on 10 January 2025, obtaining the final grade of 9.25/10. This certificate confers the legal rights established by Romanian legislation. This certificate is accompanied by a Europass Diploma Supplement. =========================================================== CERTIFICAT DE ATESTARE A COMPETENȚELOR PROFESIONALE Competențe digitale în utilizarea platformelor de tip e-learning: Specialist în e-Media Universitatea de Medicină, Farmacie, Științe și Tehnologie „George Emil Palade” din Târgu Mureș - ROMÂNIA - MINISTERUL EDUCAȚIEI ȘI CERCETĂRII la propunerea Compartimentului de Cursuri Postuniversitare eliberează domnului/doamnei COSTEA I. SIMION absolvent(ă) a programului postuniversitar de formare și dezvoltare profesională continuă, denumit: Competențe digitale în utilizarea platformelor de tip e-learning de nivel de calificare 6 CNC/EQF, domeniul de licență/activitate CAEN: Informatică cu durata studiilor 190 ore, număr de credite de studii transferabile (ECTS/SECT): 19, pentru ocupația/funcția/utilitatea socială/personală: Specialist în e-Media a promovat examenul de absolvire în anul 2025, luna ianuarie, ziua 10, cu media 9,25 (nouă 25/100). Prezentul este însoțit de suplimentul descriptiv în format Europass.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.646 | 0.582 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".