Toko Oil Pembesar Penis Surabaya, Jual Vimax Oil Asli Di Surabaya 081376666554
Bibliographic record
Abstract
Vimax Oil Adalah Minyak Oles Pembesar Penis Formula Khusus Para Pria Yang Kurang Percaya Diri Terhadap Ukuran Penisnya, Oil Vimax Asli Di Ciptakan Buat Konsumen Sebagai pengganti Obat Vimax kapsul (Yang Takut mengkonsumsi Obat – Obatan). Minyak Vimax Oles Pembesar Penis Aman Di Pakai Tanpa Menimbulkan efek Samping. Khasiat Dan Manfaat Vimax Oil Asli : Oil Vimax Tidak Jauh Beda Dengan Vimax Berbentuk Kapsul, Berikut Khasiat Serta Manfaatnya : Vimax Oil Dapat Memperbesar dan memperpanjang penis secara alami Dan Hasil Nya Permanen. Minyak Vimax Mampu Menguatkan urat syaraf pada penis. Oil Vimax Juga Bisa Mengatasi Ejakulasi Dini, Kurang Ereksi dan masalah pria lainnya. Cara Pakai Minyak Vimax Pembesar Penis Oles : Sebelum Pemakaian, kocok terlebih dahulu agar ramuan yang ada di dalamnya bisa tercampur secara merata.. Oleskan Vimax Oil Asli secara merata ke penis urut pelan – pelan satu arah dari ujung pangkal penis hingga ke ujung kepala penis selama 5-10 menit. Gunakan 2 kali sehari pada pagi hari dan malam hari sebelum tidur. Rekomendasi Untuk Dapat Hasil Yang Lebih Maksimal, Gunakan Bersama Dengan Vimax Pills Asli, Anda bisa Membeli Nya 1 Paket Hemat dengan harga 600rb. Catatan : Hanya untuk Obat luar, tidak untuk diminum. jangan di lakukan di luar aturan yang kami anjurkan minyak vimax oil asli obat oles pembesar penis Spesifikasi Vimax Oil : Asal Negara : Canada. Kemasan : Botol, Isi 60ml. Harga Minyak Vimax Pembesar Penis Oles : Rp. 200.000,-
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.064 | 0.009 |
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".