EMPHASIS – European Multi-environment Plant pHenotyping And Simulation InfraStructure
Bibliographic record
Abstract
The EMPHASIS proposal aim to establish a European Infrastructure within the ESFRI framework, based on national phenotyping infrastructure (Belgium, France, Germany and UK). The partnership will be extended to other European member states.EMPHASIS will develop and provide access to infrastructures addressing multi-scale phenotyping for analysing genotype performance under diverse environmental conditions and quantify the diversity of traits contributing to performance in diverse environmental scenario (i.e. plant architecture, major physiological functions and output, yield components and quality).EMPHASIS will address the technological and organizational limits. EMPHASIS will:• develop an integrated pan-European network of instrumented phenotyping platforms using current and future agro-climatic scenarios.• link data acquisition to a European-level data management system and to state-of-the art crop models to simulate plants and crops in current and future climates.• develop, evaluate and disseminate novel technologies, thereby providing new opportunities for research involved in phenotyping and precision agriculture• make these infrastructures and concepts accessible to European plant science community in academia and industryEMPHASIS infrastructures will include• platforms in (semi-)controlled conditions for high resolution and throughput phenotyping• Intensive field experimental sites• a coordinated network of field experiments with phenotyping infrastructure• Modelling platforms for testing existing or virtual combinations of alleles.
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 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 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) | 0.000 | 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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".