Bibliographic record
Abstract
Sulawesi Utara merupakan salah satu provinsi yang akan diperhatikan lebih oleh pemerintah karena di dalamnya terdapat daerah yang akan dijadikan metropolitan baru, yaitu Wilayah Metropolitan Manado yang terdiri dari 3 kota/kabupaten terkait yaitu Kota Manado, Kota Bitung, dan Kabupaten Minahasa Utara. Perlunya mengetahui potensi yang dimiliki oleh Wilayah Metropolitan Manado melalui pendekatan sektor unggulan. Alat analisis yang digunakan adalah location quontient untuk mengetahui sektor unggulan serta dynamic location quotient untuk mengetahui potensi sektor unggulan. Data yang digunakan adalah PDRB atas harga konstan dan laju pertumbuhan Provinsi Sulawesi Utara tahun 2014-2018. Hasil perhitungan menunjukkan bahwa Wilayah Metropolitan Manado memiliki sektor unggulan dan potensi sektor unggulan yang berbeda.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".