Bibliographic record
Abstract
ALI Advanced Land Imager ALOS PALSAR Advanced Land Observation Satellite Phased Array type L-band Synthetic Aperture Radar ASAR Advanced Synthetic Aperture Radar ASTER Advanced Spaceborne ermal Emission and Re¨ection Radiometer AVIRIS Airborne Visible/Infrared Imaging Spectrometer CAI Cellulose absorption index CCD Coherent change detection COSMO-SkyMed Constellation of Small Satellites for the Mediterranean Basin Observation CP Compact polarization CTIC Conservation Technology Information Center DP Dual polarization EnMAP Environmental Mapping and Analysis Program ERS European Remote Sensing ESA European Space Agency Hyperion First spaceborne hyperspectral sensor onboard Earth Observing-1(EO-1) HyspIRI Hyperspectral Infrared Imager IEM Integral Equation Model Landsat-4, 5 TM ematic Mapper Landsat-7 ETM+ Enhanced ematic Mapper Plus Landsat 8 OLI Operational Land Imager LCA Lignin cellulose absorption LUT Lookup table minNDTI Minimum NDTI MODIS Moderate Imaging Spectroradiometer NDI Normalized di¦erence index NDTI Normalized di¦erence tillage index NDVI Normalized di¦erence vegetation index NIR Near infrared NPV Nonphotosynthetic vegetation PolInSAR Polarimetric interferometric PPD Copolarized phase di¦erence QP Quadrature polarization RISAT Radar Imaging Satellite RMS Root mean square SAOCOM SAtélite Argentino de Observación COn Microondas; Argentine Microwaves Observation Satellite SARs Synthetic aperture radars SINDRI Shortwave infrared normalized di¦erence residue index SMAP Soil Moisture Active Passive SP Single polarization SPOT Satellites Pour l’Observation de la Terre or Earth-observing satellites STARFM Spatial and temporal adaptive re¨ectance fusion model Acronyms and Defin tions .................................................................................................................179 8.1 Introduction .............................................................................................................................180 8.2 Field Assessment of Crop Residue Cover .............................................................................181 8.3 Monitoring with Optical Remote Sensing ...........................................................................181
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.006 |
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 source (direct Gemma or distilled Codex), 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".