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Costs and benefits of synthetic nitrogen for global cereal production under the INMS Shared Socioeconomic Pathways
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
VenueSocio-Environmental Systems Modeling · 2022
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicBotanical Studies and Applications
Canadian institutionsnot available
FundersEuropean Social FundAgencia Estatal de InvestigaciónEuropean Regional Development FundFundação para a Ciência e a TecnologiaLeibniz-GemeinschaftNatural Environment Research CouncilBiotechnology and Biological Sciences Research CouncilAgriculture and Agri-Food CanadaCentre for Water Technology, Aarhus UniversityDirectorate for Biological SciencesCotton Research and Development CorporationTempus KözalapítványLandwirtschaftliche RentenbankUmweltbundesamtResearch Institute for Humanity and NatureCentro de Investigaciones Energéticas, Medioambientales y TecnológicasAlexander von Humboldt-StiftungMinisterio de Asuntos Económicos y Transformación Digital, Gobierno de EspañaMinisterio para la Transición Ecológica y el Reto DemográficoDeutsche ForschungsgemeinschaftMinisterial Standing Committee on Scientific and Technological Cooperation of the Organization of Islamic CooperationBundesministerium für Ernährung und LandwirtschaftMinistarstvo znanosti i obrazovanjaUK Research and InnovationUniversidad Politécnica de MadridCoordination of European Transnational Research in Organic Food and Farming SystemsMinisterio de Economía y CompetitividadChina Scholarship CouncilEusko JaurlaritzaCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorMinisteriet for Fø devarer, Landbrug og FiskeriGlobal Environment FacilityIndian Council of Agricultural ResearchMinisterio de Ciencia e InnovaciónEuropean CommissionNational Natural Science Foundation of ChinaNational Science FoundationDepartment of Biotechnology, Ministry of Science and Technology, IndiaEmberi Eroforrások MinisztériumaDepartment for Environment, Food and Rural Affairs, UK GovernmentUniversité Mohammed VI PolytechniqueGrønt Udviklings- og Demonstrations ProgramBundesamt für LandwirtschaftMinisterio de Ciencia, Innovación y UniversidadesJoint Research CentreCenter for Fertilization and Plant NutritionFonds Wetenschappelijk OnderzoekComunidad de MadridCentre for Ecology and HydrologyXunta de GaliciaInterregInternationalt Center for Forskning i Økologisk Jordbrug og FødevaresystemerAustralian GovernmentBanco SantanderUniversity of MelbourneDeutsche Bundesstiftung UmweltVlaamse regeringComunidad Autónoma de la Región de MurciaMiljø- og FødevareministerietInstituto Nacional de Investigación y Tecnología Agraria y AlimentariaUniversidad de la República UruguayMinistry of EnvironmentCentro para el Desarrollo Tecnológico Industrial
KeywordsProduction (economics)Socioeconomic statusAgricultural productivityNitrogenWork (physics)Agriculture
DOInot available
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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.484
Threshold uncertainty score0.395
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 head0.028
GPT teacher head0.205
Teacher spread0.177 · 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
Citations1
Published2022
Admission routes1
Has abstractno