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Record W4393530247 · doi:10.5281/zenodo.5820338

The Fano 3-fold database

2022· dataset· en· W4393530247 on OpenAlexaboutno aff
Alexander Kasprzyk

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typedataset
Languageen
FieldChemistry
TopicAdvanced Proteomics Techniques and Applications
Canadian institutionsnot available
FundersResearch Councils UK
KeywordsFold (higher-order function)Fano planeDatabaseComputer scienceChemistryMathematicsProgramming languageGeometry

Abstract

fetched live from OpenAlex

The Fano 3-fold database This is a dataset that relates to the graded (homogeneous coordinate) rings of possible algebraic varieties: complex Fano 3-folds with Fano index 1. Each entry in this dataset records the (anticanonical) Hilbert series of a possible Fano 3-fold \(X\), along with the result of some analysis about how \(X\) may be (anticanonically) embedded in weighted projective space \(\mathbb{P}(w_1,w_2,\ldots,w_s)\). For details, see the paper [BK22], which is a companion and update to the original paper [ABR02]. If you make use of this data, please consider citing [BK22] and the DOI for this data: doi:10.5281/zenodo.5820338 The data consists of two files in key:value format, "fano3.txt" and "matchmaker.txt". The files "fano3.sql" and "matchmaker.sql" contain the same data as the key:value files, but formatted ready for inserting in sqlite. fano3.txt This file contains data that relates to the graded (homogeneous coordinate) rings of possible algebraic varieties. For each entry, the essential characteristic data is the genus and basket; everything else follows (with the exception of the ID). Briefly, this essential data determines a power series, the Hilbert series, \(\text{Hilb}(X,-K_X) = 1 + h_1t + h_2t^2 + \ldots\) that can be written as a rational function of the form \((\text{polynomial numerator in $t$}) / \prod_{i=1}^s(1-t^{w_i})\), where \(w_1,w_2,\ldots,w_s\) are positive integer weights. The data consists of 52646 entries. The 39550 stable entries (that is, with 'stable' equal to 'true') are assigned an ID 'id' in the range 1-39550. The 13096 unstable entries (that is, with 'stable' equal to 'false') are assigned an ID in the range 41515-54610. IDs in the range 39551-41514 are assigned to the higher index Fano varieties, and are not included in this dataset. Example entry id: 1 weights: 5,6,7,...,16 has_elephant: false genus: -2 h1: 0 h2: 0 ... h10: 4 numerator: t^317 - t^300 - 6*t^299 - ... + 1 codimension: 24 basket: 1/2(1,1,1),1/2(1,1,1),1/3(1,1,2),...,1/5(1,2,3) basket_size: 7 equation_degrees: 17,18,18,...,27 degree: 1/60 k3_rank: 19 bogomolov: -8/15 kawamata: 1429/60 stable: true (Some data truncated for readability.) Brief description of an entry id: a unique integer ID for this entry genus: \(h^0(X,-K_X)-2\) basket: multiset of quotient singularities \(\frac{1}{r}(f,a,-a)\) basket_size: number of elements in the 'basket' k3_rank: \(\sum(r-1)\) taken over the 'basket' kawamata: \(\sum(r-\frac{1}{r})\) taken over the 'basket' bogomolov: sum of terms over 'basket' relating to stability (see [BK22]) stable: true if and only if 'bogolomov' \(\le0\) degree: anticanonical degree \((-K_X)^3\) of \(X\), determined by above data (see [BK22]) h1,h2,...,h10: coefficients of \(t,t^2,\ldots,t^{10}\) in the Hilbert series \(\text{Hilb}(X,-K_X)\) weights: suggestion of weights \(w_1,w_2,\ldots,w_s\) for the anticanonical embedding \(X\subset\mathbb{P}(w_1,w_2,\ldots,w_s)\) numerator: polynomial such that the Hilbert series \(\text{Hilb}(X,-K_X)\) is given by the power series expansion of \(\text{'numerator'} / \prod_{i=1}^s(1-t^{w_i})\), where the \(w_i\) in the denominator range over the 'weights' codimension: the codimension of \(X\) in the suggested embedding, equal to \(s - 4\) has_elephant: true if and only if \(h_1 > 0\) matchmaker.txt This file contains a set of pairs of IDs, in each case one from the canonical toric Fano classification [Kas10,toric] and one from "fano3.txt". The meaning is that the Hilbert series of the two agree, and this file contains all such agreeing pairs. Example entry toric_id: 1 fano3_id: 27334 Brief description of an entry toric_id: integer ID in the range 1-674688, corresponding to an 'id' from canonical toric Fano dataset [Kas10,toric] fano3_id: an integer ID in the range 1-39550 or 41515-54610, corresponding to an 'id' from "fano3.txt" fano3.sql and matchmaker.sql The files "fano3.sql" and "matchmaker.sql" contain sqlite-formatted versions of the data described above, and can be imported into an sqlite database via, for example: $ cat fano3.sql matchmaker.sql | sqlite3 fano3.db This can then be easily queried. For example: $ sqlite3 fano3.db > SELECT id FROM fano3 WHERE degree = 72 AND stable IS TRUE; 39550 > SELECT toric_id FROM fano3totoricf3c WHERE fano3_id = 39550; 547334 547377 References [ABR02] Selma Altinok, Gavin Brown, and Miles Reid, "Fano 3-folds, K3 surfaces and graded rings", in Topology and geometry: commemorating SISTAG, volume 314 of Contemp. Math., pages 25-53. Amer. Math. Soc., Providence, RI, 2002. [BK22] Gavin Brown and Alexander Kasprzyk, "Kawamata boundedness for Fano threefolds and the Graded Ring Database", 2022. [Kas10] Alexander Kasprzyk, "Canonical toric Fano threefolds", Canadian Journal of Mathematics, 62(6), 1293-1309, 2010. [toric] Alexander Kasprzyk, "The classification of toric canonical Fano 3-folds", Zenodo, doi:10.5281/zenodo.5866330

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.050
Threshold uncertainty score0.166

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.007
Science and technology studies0.0010.000
Scholarly communication0.0030.004
Open science0.0030.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0500.063

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 head0.029
GPT teacher head0.274
Teacher spread0.245 · 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 designNot applicable
Domainnot available
GenreDataset

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".

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Citations1
Published2022
Admission routes1
Has abstractyes

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