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Record W2065049644 · doi:10.1139/p01-078

Electrical conductivity and thermo-electric power of a-Se<sub>80<i>x</i></sub>In<sub><i>x</i></sub> and Se<sub>80<i>x</i></sub>Ge<sub>20</sub>In<sub><i>x</i></sub> thin films

2002· article· en· W2065049644 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Journal of Physics · 2002
Typearticle
Languageen
FieldMaterials Science
TopicPhase-change materials and chalcogenides
Canadian institutionsnot available
FundersUniversity of Delhi
KeywordsPhysicsElectrical resistivity and conductivityCharge carrierConductivityGrain boundaryCharge (physics)Analytical Chemistry (journal)Condensed matter physicsElectric fieldElectric chargeCrystallographyMicrostructureChemistry

Abstract

fetched live from OpenAlex

The dc conductivity and thermo-electric power of a-Se 80–x In x (x = 5, 10, 15, 20, 30) and a-Se 80–x Ge 20 In x (x = 0, 5, 10, 15, 20) thin films are reported in the present work. The free-charge-carrier concentration is calculated with the help of dc conductivity and thermo-electric power measurements. The calculated values of the free-charge-carrier concentration have been used to evaluate the free-charge-carrier mobility from which the grain boundary potential was evaluated. The results are interpreted in terms of band tailing and the structure of Se–In, Se–Ge–In, and the grain boundary potential barrier. PACS Nos.: 73.61-p, 61.43Dq

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.002
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 head0.025
GPT teacher head0.224
Teacher spread0.198 · 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