MétaCan
Menu
Back to cohort

PELATIHAN PEMBUATAN ECO ENZYM SECARA ONLINE DARI SAMPAH BUAH DAN SAYURAN SEBAGAI DISINFECTANT DAN HAND SANITIZER HERBAL KEPADA GURU-GURU SMK PUSAT KEUNGGULAN

2022· article· en· W4375834541 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJurnal Pengabdian Pada Masyarakat METHABDI · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Character Development
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsWaste managementBiodegradable wasteGarbageHand sanitizerFood scienceEnvironmental scienceEngineeringChemistry

Abstract

fetched live from OpenAlex

Garbage is a waste material as a result of human activities which is a material that can no longer be used. Waste is solid waste consisting of organic and inorganic substances which are considered useless and must be managed so as not to harm the environment. Including organic waste, one of which is waste that comes from kitchen waste in every household, namely fruit and vegetable peel waste. Waste processing to reduce pollution and preserve the environment is to process waste into Eco Enzymes. The purpose of making Eco Enzyme is to process enzymes from organic waste that are usually thrown into trash cans into disinfectants and hand sanitizers.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.599
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0050.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.032
GPT teacher head0.303
Teacher spread0.272 · 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