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Constraining the early evolution of Earth’s photosynthetic pathways : an isotopic approach

2022· dissertation· W7151614447 on OpenAlexaboutno aff
Laureline Patry

Bibliographic record

Venuenot available
Typedissertation
Language
FieldEarth and Planetary Sciences
TopicPaleontology and Stratigraphy of Fossils
Canadian institutionsnot available
Fundersnot available
KeywordsTransectPaleozoicCratonInterflow

Abstract

fetched live from OpenAlex

Contraindre l'évolution précoce des voies photosynthétiques de la Terre : une approche isotopique Ce travail de thèse s'est concentré sur de nouvelles signatures géochimiques et isotopiques préservées dans des roches sédimentaires chimiques et d'autres sédiments marins du Craton Supérieur canadien, déposés entre 2,93 et 2,8 Ga, afin de mieux comprendre l'évolution des voies photosynthétiques sur la Terre primitive. La chimiostratigraphie isotopique du fer des carbonates stromatolithiques et des sédiments d'eaux profondes préservés dans une carotte de la ceinture de schistes verts de Red Lake (2,93Ga) révèle un cycle complexe d'oxydoréduction du fer sur un transect de faible profondeur grande profondeur, avec un couplage entre le cycle du fer et du soufre qui est mieux expliqué par l'activité photosynthétique marine. Les données de REE de trois plateformes carbonatées (2,93 Ga Red Lake, 2,86 Ga Woman Lake et 2,80 Ga Steep Rock Lake) représentant les plus anciennes plateformes carbonatées épaisses connues sur Terre, fournissent des preuves de processus estuariens, d'apports hydrothermaux et, surtout, de la production d'oxygène libre, comme le montrent d'importantes anomalies négatives en Ce d'une ampleur sans précédent pour l'Archéen. La géochronologie La-Ce de haute précision a été appliquée avec succès aux échantillons des trois sites, produisant trois isochrones claires qui datent le fractionnement La/Ce, et donc l'oxydation du Ce, au moment du dépôt.

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 score0.032
Threshold uncertainty score0.063

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 studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.227
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 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
Published2022
Admission routes1
Has abstractyes

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