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Record W4288854935 · doi:10.5281/zenodo.6942544

MADU HERBAL BER-BPOM, WA 0857-8593-1696 | Jual kesagi madu kuat Karawang

2022· article· id· W4288854935 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typearticle
Languageid
FieldArts and Humanities
TopicMedical Research and Islamic Perspectives
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsTraditional medicineMedicine

Abstract

fetched live from OpenAlex

⛔ Perhatian : Jangan tergiur dengan harga Murah tapi palsu alias KW. Kami hanya menjual produk Asli dan dijamin uang kembali jika terbukti palsu. Kami adalah Distributor Resmi Indonesia\n========================================\n.\n🔹KESAGI SUPLEMEN MADU HERBAL ORIGINAL🔹\n.\n\n✅ Tanpa efek samping\n✅ Sertifikat BPOM\n✅ Sertifikat halal\n.\n✅Petunjuk penyajian:\n.\n👉 Tuangkan 1 bungkus kedalam gelas, tambahkan 150 ml air dingin, aduk rata dan sajikan\n👉 Minum 3 atau 4 Jam sebelum berhubungan\n👉 Tidak meminum apapun kecuali Air putih Setelah meminum kesagi agar hasil lebih maksimal dan manjur\n.\n\n🎯 Produk Kesehatan Malam Terlaris🎯\n.\nAnda punya masalah diranjang ?\nBelum waktunya udah kelar duluan 😂..\nIstri gak terpuaskan 😭😭....\n.\nKESAGI Diracik dan dikemas oleh ahli herbal yang tergabung himpunan Pengobatan Tradisional & Akupuntur Indonesia (HIPTRI). Madu KESAGI ini dapat membantu Anda untuk mengatasi keluhan Impo-tensi dan Ej_akuulasi dini.\n.\nMadu KESAGI diramu dengan komposisi tepat yang di produksi secara cermat serta telah memiliki legalitas PIRT sehingga sangat aman di gunakan khalayak uum. KESAGI serbuk sktrak madu kuaad taahan laama dan konak sampai pagi ini telah membantu para pria memperoleh e-reksi yang pan-jang, berkualitas dan tahan laamaa yang akan membuat isteri bang-ga dan minta lagi.\n.\nBahan Herbal Kesagi:\n.\n✅ Tongkat Ali\n✅ Panax Gingseng\n✅ Extract Madu Hutan\n.\nReaksi Setelah Minum:\n✅ Mr. P akan mengeras lebih cepat dan tahan lama\n✅ Kuat main beronde-ronde\n✅ Istri makin sayang\n✅ Rumah tangga semakin harmonis\n.\nSuplemen kami beda dengan madu2 lain nya yg lebih mengutamakan harga mahal.\nSilahkan di coba dan buktikan sendiri.\n.\n> PRODUK 100%\nPRODUK 100% ASLI, KAMI GANTI 3X LIPAT JIKA TERBUKTI PALSU\nUANG DI KEMBALIKAN JIKA BARANG TIDAK SAMPAI KETEMPAT\nPACKING RAPIH DAN AMAN\nPENGIRIMAN CEPAT\nPRIVACY TERJAGA\nELI*BERANI BELI YANG ASLI BERANI SEHAT*2-3 Jam sebelum Berhubungan supaya hasil maksimal\n.\nDiproduksi Oleh : PT SUMBER ALAM TROPIS\nBPOM : 869028003337\nSert Ketahanan Pangan : 1108.33.055.15\nIzin Produksi : 3305.08.48.2017\nIzin Industri : 1093305091052 22\nSertifikat HALAL : HA5B1606/82018/AMK\n.\nNB: KHUSUS DIGUNAKAN DENGAN PASANGAN HALAL\n.\n#kesagi #kesagiasli #kesagioriginal #kesagiaslioriginal #madukesagi #madukesagiasli #madukesagiaslioriginal

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.544
Threshold uncertainty score0.776

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.4560.163

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.

Opus teacher head0.040
GPT teacher head0.246
Teacher spread0.206 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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