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Record W7098264886

Lake Water and Sediment I. Characteristics and Water Chemistry of Some Canadian East Coast Lakes1

2014· article· en· W7098264886 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAlkalinitySalinitySedimentWetlandHydrology (agriculture)ProductivityBiogeochemistryWater chemistryLimnology
DOInot available

Abstract

fetched live from OpenAlex

Sixteen lakes are described, varying in geology and all but Iwo of low productivity, and including three acid bog types. A method is described for indirect estimation of the sum of Na and K. In lakes generally, low pH is related to low conductivity, but in these coastal lakes the Na in ocean spray keeps up the conductivity even in very acid waters. At cquilibrium the inorganic P in solution is 2-3 ppb and reprcscnts a residual soluble fraction, independent of productivity and pII. Total P is 10-15 ppb and the concentration is not related to productivity. There is an annual cycle of inorganic I ’ with a winter maximum, spring decline, and summer minimum. Methyl orange alkalinity varies dircclly with the sum of Ca and Mg and with either of the ions separately. The scatter in the regression of alkalinity versus Mg is greater than that of alkalinity versus Ca. Them is a reduction of per cent organic material in the sediments directly rclatcd to increasing alkalinity. The cause is attributed to greater bacterial activity as Lhe pI1 goes up. These papers are in continuation of studies related to the productivity of some east coast Canadian lakes. The lakes sclectcd exhibit considerable variety of type and geology, as shown by their map locations (Fig. 1). I ‘ ‘ram the work of M. W. Smith the capacity of many of the lakes to support fish is known, providing a standard by which to judge other estimates. The following notes on the lakes will supplcmcnt Figure 1 and Table 1. Lakes 1, 2, and 3 arc located near IIalifax in forbidding granite country. No. 1 is a clearwater primitive, No. 2 an extreme acid bog type, and No. 3 moderately acid bog. Lakes 4, 5, and 6 are near Yarmouth in a quartzite-slate formation, No. 4 being an acid bog type. Their quality indices, based on fish, are respectively 0.20, 0.53, and 0.98, where 1.O would bc average (Hayes 1957). Lakes 7 to 11 are scattered over Nova Scotia. Nos. 7 and 8 arc not far apart in a sandstone-shale conglomerate. The drainage area of No. 8 supports marginal farming, and the lake has a quality index of 0.36. Grand Lake, No. 9, is the largest and 1 Acknowledgement is made of linancial support by the Nova Scotia llcsearch Foundation

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.158
Teacher spread0.143 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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