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Record W6886954507 · doi:10.15468/dl.ay7k29

Occurrence Download

2024· dataset· en· W6886954507 on OpenAlexaboutno aff

Bibliographic record

VenueGlobal Biodiversity Information Facility · 2024
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsTaxonSAINTState (computer science)Indian oceanKingdomRange (aeronautics)

Abstract

fetched live from OpenAlex

A dataset containing 3267 species occurrences available in GBIF matching the query: { "and" : [ "TaxonKey is one of (Parambassis siamensis (Fowler, 1937), Pristolepis fasciata (Bleeker, 1851), Esomus metallicus Ahl, 1923)", "Year is not null", { "not" : { "Issue" : [ "is one of (Recorded date invalid, Taxon match fuzzy, Taxon match higher rank)" ] } }, "Country is one of (Afghanistan, Angola, Anguilla, Åland Islands, Albania, Andorra, United Arab Emirates, Argentina, Armenia, American Samoa, Antarctica, French Southern Territories, Antigua and Barbuda, Australia, Austria, Azerbaijan, Burundi, Belgium, Benin, Bonaire, Sint Eustatius and Saba, Burkina Faso, Bangladesh, Bulgaria, Bahrain, Bahamas, Bosnia and Herzegovina, Saint Barthélemy, Belarus, Belize, Bermuda, Bolivia (Plurinational State of), Brazil, Barbados, Brunei Darussalam, Bhutan, Bouvet Island, Botswana, Central African Republic, Canada, Cocos (Keeling) Islands, Switzerland, Chile, China, Côte d’Ivoire, Cameroon, Congo, Democratic Republic of the, Congo, Cook Islands, Colombia, Comoros, Cabo Verde, Costa Rica, Cuba, Curaçao, Christmas Island, Cayman Islands, Cyprus, Czechia, Germany, Djibouti, Dominica, Denmark, Dominican Republic, Algeria, Ecuador, Egypt, Eritrea, Western Sahara, Spain, Estonia, Ethiopia, Finland, Fiji, Falkland Islands (Malvinas), France, Faroe Islands, Micronesia (Federated States of), Gabon, United Kingdom of Great Britain and Northern Ireland, Georgia, Guernsey, Ghana, Gibraltar, Guinea, Guadeloupe, Gambia, Guinea-Bissau, Equatorial Guinea, Greece, Grenada, Greenland, Guatemala, French Guiana, Guam, Guyana, Hong Kong, Heard Island and McDonald Islands, Honduras, Croatia, Haiti, Hungary, Indonesia, Isle of Man, India, British Indian Ocean Territory, Ireland, Iran (Islamic Republic of), Iraq, Iceland, Israel, Italy, Jamaica, Jersey, Jordan, Japan, Kazakhstan, Kenya, Kyrgyzstan, Cambodia, Kiribati, Saint Kitts and Nevis, Korea, Republic of, Kuwait, Lao People’s Democratic Republic, Lebanon, Liberia, Libya, Saint Lucia, Liechtenstein, Sri Lanka, Lesotho, Lithuania, Luxembourg, Latvia, Macao, Saint Martin (French part), Morocco, Monaco, Moldova, Republic of, Madagascar, Maldives, Mexico, Marshall Islands, North Macedonia, Mali, Malta, Myanmar, Montenegro, Mongolia, Northern Mariana Islands, Mozambique, Mauritania, Montserrat, Martinique, Mauritius, Malawi, Malaysia, Mayotte, Namibia, New Caledonia, Niger, Norfolk Island, Nigeria, Nicaragua, Niue, Netherlands, Norway, Nepal, Nauru, New Zealand, Oman, Pakistan, Panama, Pitcairn, Peru, Philippines, Palau, Papua New Guinea, Poland, Puerto Rico, Korea (Democratic People’s Republic of), Portugal, Paraguay, Palestine, State of, French Polynesia, Qatar, Réunion, Romania, Russian Federation, Rwanda, Saudi Arabia, Sudan, Senegal, Singapore, South Georgia and the South Sandwich Islands, Saint Helena, Ascension and Tristan da Cunha, Svalbard and Jan Mayen, Solomon Islands, Sierra Leone, El Salvador, San Marino, Somalia, Saint Pierre and Miquelon, Serbia, South Sudan, Sao Tome and Principe, Suriname, Slovakia, Slovenia, Sweden, Eswatini, Sint Maarten (Dutch part), Seychelles, Syrian Arab Republic, Turks and Caicos Islands, Chad, Togo, Thailand, Tajikistan, Tokelau, Turkmenistan, Timor-Leste, Tonga, Trinidad and Tobago, Tunisia, Türkiye, Tuvalu, Chinese Taipei, Tanzania, United Republic of, Uganda, Ukraine, United States Minor Outlying Islands, Uruguay, United States of America, Uzbekistan, Holy See, Saint Vincent and the Grenadines, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.), Viet Nam, Vanuatu, Wallis and Futuna, Samoa, Yemen, South Africa, Zambia, Zimbabwe)", { "not" : { "Country" : [ "is one of (Aruba)" ] } } ] } The dataset includes 3267 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068912-240229165702484/datasets/export for details. Data from some individual datasets included in this download may be licensed under less restrictive terms.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.607
Threshold uncertainty score0.866

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0060.009
Science and technology studies0.0010.000
Scholarly communication0.0040.003
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.3930.469

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 head0.017
GPT teacher head0.234
Teacher spread0.217 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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