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Thanks to reviewers, <i>Agronomy Journal</i>, 2022
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
VenueAgronomy Journal · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Development and Policies
Canadian institutionsnot available
FundersArgonne National LaboratoryUniversity of California MercedUniversity of Massachusetts AmherstAgricultural Research ServicePunjab Agricultural UniversitySharda UniversityUniversität KasselSabaragamuwa University of Sri LankaUniversidade Estadual PaulistaNorthwest A and F UniversityJilin Agricultural UniversityUniversità di PisaInstitut National Polytechnique de ToulouseSaudi Basic Industries CorporationUniversidad Nacional de Mar del PlataSher-e-Bangla Agricultural UniversityCollege of Engineering, Michigan State UniversityAnna UniversityHakim Sabzevari UniversityUniversidade de São PauloNorth-West UniversityChinese Academy of Agricultural SciencesInstitut National de la Recherche AgronomiqueShandong Agricultural UniversitySouth Dakota State UniversityShanghai Jiao Tong UniversityIslamic Azad UniversityUniversidad de Buenos AiresSun Yat-sen UniversityIsfahan University of TechnologyShenyang Agricultural UniversityChina Agricultural UniversityCollege of Agriculture and Life Sciences, Cornell UniversityInstituto Nacional de Tecnología AgropecuariaIowa State UniversityUniversity of MelbourneCommonwealth Scientific and Industrial Research OrganisationIndian Council of Agricultural ResearchUniversity of AlbertaCairo UniversityUniversity of WyomingLanzhou UniversityNorthwest UniversityUniversity of North GeorgiaUniversité Sultan Moulay SlimaneGuangxi UniversityOregon State UniversityNanjing Agricultural UniversityNew Mexico State UniversityNorth Carolina State UniversityPennsylvania State UniversityAgricultural University of AthensUniversity of Nebraska-LincolnUniversidade Federal do Espírito SantoMississippi State UniversityEnergy Biosciences InstituteAarhus UniversitetMichigan State UniversityOklahoma State UniversityUniversity of MinnesotaUniversidade Federal de ViçosaUniversidade Estadual de MaringáUniversity of MissouriNorth Dakota State UniversityUniversity of Southern CaliforniaLouisiana State UniversityAgricultural Center, Louisiana State UniversityWashington State UniversityUniversidade Federal de Santa MariaVirginia Polytechnic Institute and State UniversityIndian Agricultural Research InstituteU.S. Department of AgricultureUniversity of Illinois at Urbana-ChampaignColorado State UniversityGovernment of Western AustraliaUniversity of Wisconsin-MadisonUniversiti Teknikal Malaysia MelakaChinese Academy of SciencesUniversity of MalakandOhio State UniversityAgriculture and Agri-Food CanadaNational and Kapodistrian University of AthensUniversidade Federal de LavrasUtah State University
KeywordsCitationLibrary scienceComputer science
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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.158
Threshold uncertainty score0.999
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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 head0.022
GPT teacher head0.227
Teacher spread0.205 · 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
Published2023
Admission routes1
Has abstractno