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Record W2326542340 · doi:10.3130/aija.77.1513

ROUTE DECISION IN EASTERN DISTRICT OF KAMO RIVER AND EXPROPRIATION ON THE CONSTRUCTION OF BIWAKO CANAL IN KYOTO

2012· article· en· W2326542340 on OpenAlexaff
Yoshiro Ono, Shu NISHIDERA, Setsuko Nakajima

Bibliographic record

VenueJournal of Architecture and Planning (Transactions of AIJ) · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban and spatial planning
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsExpropriationHydroelectricityIrrigationCofferdamIrrigation districtWater resource managementWater supplyBusinessEnvironmental scienceEnvironmental engineeringCivil engineeringEngineeringEconomics

Abstract

fetched live from OpenAlex

Biwako canal in Kyoto City was constructed in the period from 1885 to 1890 in order to supply water for irrigation systems and develop the utilization of water power, transportation by ship and so on. There were 2 routes on the canal, the one was the route in Ohtoh area beside eastern district of Kamo river for the transportation and later also for hydroelectric power, the other was the route of north-east area of Kyoto for the irrigation. The expropriation performance of the canal was discussed in this paper depended on the maps drawn in the construction and the cadastre on expropriation. The new city planning in the Ohtoh area, especially road networks along the canal was designed, and the canal route was determined to decrease flow rate and to choose the low cost expropriation.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.011
GPT teacher head0.218
Teacher spread0.207 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations1
Published2012
Admission routes1
Has abstractyes

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