MétaCan
Menu
Back to cohort
Record W6986430593

Plan of a portion of the Town of Niagara shewing the lots adjoining Mississaugua Reserve which have been built upon, also the Lots which have been granted but not built upon.

2016· other· en· W6986430593 on OpenAlexaboutno aff

Bibliographic record

VenueBrock University Digital Repository (Brock University) · 2016
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMachine Learning in Bioinformatics
Canadian institutionsnot available
Fundersnot available
KeywordsPlan (archaeology)RavineGuard (computer science)Master planSection (typography)Port (circuit theory)Point (geometry)Boundary (topology)ExcavationGeorge (robot)
DOInot available

Abstract

fetched live from OpenAlex

Historic plan showing the Town of Niagara (present day Niagara-on-the-Lake). North is oriented to the bottom at Lake Ontario. Further descriptive text is noted below the title. The town is divided into lots and labelled with lot numbers and landowners names. Streets and some buildings are also indicated. A boundary line surrounding the military fort at Missaugua (sic) Point is labelled: “Reserve laid down according to a Plan signed Robert Pilkington Lieut. Royal Engineers dated 1796.” East of the reserved land is a section of land that is labelled as “Not Granted”. Further east are military yards, command quarters and a guard room. Other notations are made on various sections of land. A ravine is shown at the south side of the town. Relief is shown by shading. Plan is signed: “Royal Engineer Office Toronto 11th Nov. 1837 (Sd) Geo: Houghton Clerk of works”. Below this signature is the notation: “(?) forwarded to the Com’g. Roy’l. Engineer U. C. with Cap. Baddeley’s letter 11th Nov. 1837.” The plan is also signed: “(Copy) Jno. Sloane, Clerk of works, Kingston, 17th Nov 1837" and "(Signed) F. H. Baddeley C. Royal Engineers. Capt & Major. Com'g. Roy'l Engrs, U.C. (Copy) Jno. Sloane, Clerk of works, Kingston, 17th Nov 1837." Plan bears the stamp of the Royal Engineers Office.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.367
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.002
Research integrity0.0010.001
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 head0.012
GPT teacher head0.215
Teacher spread0.203 · 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 teacher head, 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

Explore more

Same venueBrock University Digital Repository (Brock University)Same topicMachine Learning in BioinformaticsFrench-language works237,207