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Record W3130151529

Adche 2020 Conference Summary

2020· article· en· W3130151529 on OpenAlexaboutno aff
Amit K. Thakur, Rahul Kumar, Pranava Chaudhari, Nilanjana Banerjee

Bibliographic record

VenueSSRN Electronic Journal · 2020
Typearticle
Languageen
FieldEngineering
TopicOil and Gas Production Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsLibrary scienceEngineeringPolitical scienceComputer science
DOInot available

Abstract

fetched live from OpenAlex

The Department of Chemical Engineering at the University of Petroleum and Energy Studies (UPES), Dehradun hosted a three-day International Conference, Advances in Chemical Engineering – 2020 (AdChE-2020), during 5-7 Feb 2020. Eminent speakers from India, USA, Canada and Jordon delivered distinguished and plenary lectures. There were over 300 participants who attended from all over India and the world. It was an academic treat for the participants as well as for our students. The keynote lecture on the day of the inauguration was presented by Padma Vibhushan Prof. M. M. Sharma, FRS. We had 23 other distinguished speakers including Padma Bhushan Prof. J. B. Joshi from ICT Mumbai; Prof. Rakesh Agarwal from Purdue University; Prof. A. B. Pandit from ICT Mumbai; Prof. Sadhan Jana from the University of Akron, USA; Prof. Devang Khakhar from IIT Bombay; Dr. V. Ravikumar from BPCL R&D and many more. The conference witnessed an eclectic mix of lectures and presentations, with discussions ranging from means and ways of improving the standard of living at the bottom pyramid and solving societal issues to the conversion of carbon dioxide to methanol by solar photocatalysis. The event also had over 300 papers and poster presentations under various chemical engineering and allied themes like alternate energy resources, chemical reaction and reactor engineering, health safety and environment, materials science, etc. Needless to say, this conference was a complete success. The student volunteers got a considerable amount of academic and administrative experience and exposure to the best brains from around the world. Editors 1. Amit K. Thakur Assistant Professor, Department of Chemical Engineering University of Petroleum and Energy Studies (UPES), Dehradun 2. Rahul Kumar Assistant Professor, Department of Chemical Engineering University of Petroleum and Energy Studies (UPES), Dehradun 3. Pranava Chaudhari Assistant Professor, Department of Chemical Engineering University of Petroleum and Energy Studies (UPES), Dehradun 4. Nilanjana Banerjee Assistant Professor, Department of Chemical Engineering University of Petroleum and Energy Studies (UPES), Dehradun

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.401
Threshold uncertainty score0.854

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0020.000
Scholarly communication0.0090.003
Open science0.0020.003
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.4010.297

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 head0.009
GPT teacher head0.204
Teacher spread0.195 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

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
Published2020
Admission routes1
Has abstractyes

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