Konsep Perancangan Rumah Sakit Gigi dan Mulut Dengan Penerapan Tema Biophilic
Bibliographic record
Abstract
Tuntutan mutu pelayanan kesehatan gigi dan mulut mengalami peningkatan seiring dengan perkembangan zaman, kuhusnya pada daerah Aceh pada tahun 2013 mencapai 64% penduduk yang mengalami karies (masalah gigi dan mulut). Penanganannya kini menjadi lebih spesifik sehingga memerlukan rumah sakit khusus gigi dan mulut. Rumah sakit ini mencakup pelayanan gawat darurat, rawat jalan maupun rawat inap. Suatu perencanaan dan perancangan rumah sakit khusus gigi dan mulut dibutuhkan untuk memenuhi kebutuhan masyarakat akan kesehatan gigi dan mulut sehingga dapat memfasilitasi dan melayani kesehatan gigi dan mulut. Perancangan RSGM ini berlandaskan pada sebuah konsep Biophilic yang mana proses penyembuhan pasien tidak hanya didapatkan melalui pihak medis tetapi juga didapatkan dari bangunan yang digunakan oleh pasien sebagai objek rancangan.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.006 |
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".