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Record W2529088477 · doi:10.1021/acs.oprd.6b00226

A Single-Stage, Continuous High-Efficiency Extraction Device (HEED) for Flow Synthesis

2016· article· en· W2529088477 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueOrganic Process Research & Development · 2016
Typearticle
Languageen
FieldEngineering
TopicInnovative Microfluidic and Catalytic Techniques Innovation
Canadian institutionsYork University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsContinuous flowSingle stageExtraction (chemistry)Flow (mathematics)ChromatographyChemistryComputer scienceProcess engineeringBiochemical engineeringMechanicsEngineeringPhysics

Abstract

fetched live from OpenAlex

A prototype continuous-flow high-efficiency extraction device (HEED) is reported. The device is compatible with a wide-range of systems and can be used without modification for extractions into higher or lower density solvents. The design balances high-extraction efficiency with low (millisecond) residence time to provide products of high purity over >20 h of continuous operation, corresponding to gram-scale extractions. Device performance was characterized over time for three extractions, each involving a different solvent system and recovery into different phases (i.e., organic and aqueous). In all cases the HEED was capable of matching batch extraction efficiency over an indefinite period following an initial “loading and stabilization” phase.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.868
Threshold uncertainty score0.709

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.041
GPT teacher head0.319
Teacher spread0.278 · 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