← Back to cohort
Supplementary material to "A compilation of global bio-optical in situ data for ocean-colour satellite applications – version three"
André Valente, Shubha Sathyendranath, Vanda Brotas, Steve Groom, Michael Grant, Thomas J. Jackson, A.D. Chuprin, Malcolm Taberner, Ruth L. Airs, David Antoine, Robert Arnone, William M. Balch, Kathryn Barker, Ray Barlow, Simon Bélanger, Jean‐François Berthon, Şükrü Beşiktepe, Yngve Borsheim, Astrid Bracher, Vittorio Brando, Robert J. W. Brewin, Elisabetta Canuti, Francisco P. Chavez, A. Cianca, Hervé Claustre, Lesley Clementson, Richard Crout, Afonso Ferreira, Scott Freeman, Robert Frouin, Carlos García-Soto, Stuart W. Gibb, Ralf Goericke, Richard A. Gould, Nathalie Guillocheau, Stanford B. Hooker, Chuamin Hu, Mati Kahru, Milton Kampel, Holger Klein, Susanne Kratzer, Raphael M. Kudela, Jesús Ledesma, Steven E. Lohrenz, Hubert Loisel, Antonio Mannino, Víctor Martínez-Vicente, Patricia A. Matrai, David McKee, B. Greg Mitchell, Tiffany Moisan, Enrique Montes, Frank Müller‐Karger, Aimee Neeley, Michael Novák, Leonie O’Dowd, Michael Ondrusek, Trevor Platt, Alex J. Poulton, Michel Répécaud, Rüdiger Röttgers, Thomas Schroeder, Tim Smyth, Denise Smythe‐Wright, Heidi M. Sosik, Crystal Thomas, Robert E. Thomas, Gavin H. Tilstone, Andreia Tracana, Michael Twardowski, Vincenzo Vellucci, Kenneth J. Voss, Jeremy Werdell, Marcel Robert Wernand, Bożena Wojtasiewicz, Simon Wright, Giuseppe Zibordi
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.
Bibliographic record
Venuenot available
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicEnvironmental Monitoring and Data Management
Canadian institutionsnot available
FundersNational Marine Fisheries ServiceOffice of Polar ProgramsInstitut national des sciences de l'UniversNatural Environment Research CouncilUniversity of California, San DiegoCalifornia Department of Fish and WildlifeGoddard Space Flight CenterCentre National de la Recherche ScientifiqueBundesministerium für Bildung und ForschungSorbonne UniversitéNational Oceanic and Atmospheric AdministrationDeutsche ForschungsgemeinschaftFisheries and Oceans CanadaEuropean CommissionNational Science FoundationEuropean Space AgencyNational Aeronautics and Space AdministrationCentre National d’Etudes SpatialesCommonwealth Scientific and Industrial Research OrganisationEuropean Organization for the Exploitation of Meteorological Satellites
KeywordsIn situSatelliteRemote sensingEnvironmental scienceComputer scienceGeologyMeteorologyGeographyPhysicsAstronomy
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
Full frame distilled prediction
Teacher imitationNot 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score0.997
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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 head0.033
GPT teacher head0.276
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itQuick stats
Citations0
Published2022
Admission routes1
Has abstractno