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Record W7014625309

Plan Showing the Military Reserve at the Falls of Niagara Surveyed by Command of His Excellency Sir John Colborne K.C.B. Lieutenant Governor

2016· other· en· W7014625309 on OpenAlexaboutno aff

Bibliographic record

VenueBrock University Digital Repository (Brock University) · 2016
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101DiafiltrationHyporeflexiaPretextArticular cartilage damage
DOInot available

Abstract

fetched live from OpenAlex

Historic map showing land along the Niagara River at Niagara Falls. North is oriented to the top right. Niagara Falls is shown, divided into lots which are labelled numerically. A military reserve is shown along the bank of the water. Some buildings are shown and labelled including the Ontario base, stables and a pavilion. On the land north-west of the falls is Table Rock, Wright’s Stairs and a museum. Concession Road, the Road from Chippewa, a road to the ferry and other unlabeled roads are shown. The Niagara River at Niagara Falls is shown. Goat Island and two other unlabeled islands are shown in the river at the top of Niagara Falls. Relief is shown with shading and hachures. In the bottom right corner of the map is reference text providing further information about the lots. Granted land to Philip Bender, James Forsythe and James Elsworth is indicated shown and are indicated by lot number. Text in the top right corner of the map indicates which lots were granted to each individual and provides further information about each lot. The text was written and signed by D. W. Smith A.S.G.

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)0.000
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 score0.834
Threshold uncertainty score0.563

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.6050.245

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 head0.013
GPT teacher head0.187
Teacher spread0.174 · 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
Published2016
Admission routes1
Has abstractyes

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Same venueBrock University Digital Repository (Brock University)French-language works237,207