PRIMACIA DE LA JUR?SDICCI?N ADMINISTRATIVA DEL MINISTERIO DEL AMBIENTE SOBRE LOS RECURSOS FORESTALES EN LA LEY 29763 LEY FORESTAL Y DE FAUNA SILVESTRE
Bibliographic record
Abstract
LOS RECURSOS FORESTALES DEL PER? CONCEPTO Y CARACTER?STICAS DE LOS RECURSOS FORESTALES UBICACI?N GEOGR?FICA Y APROVECHAMIENTO LIBRE COMERCIO EN LOS RECURSOS FORESTALES DEL PER? TRATADO DE LIBRE COMERCIO PER? Y EEUU TRATADO DE LIBRE COMERCIO PER? ? CANAD? TRATADO DE LIBRE COMERCIO PER? Y COREA COOPERACI?N Y ACUERDOS INTERNACIONALES ACUERDO INTERNACIONAL SOBRE MADERA TROPICAL CONVENCI?N DE VIENA PARA LA PROTECCI?N DE LA CAPA DE OZONO PROTOCOLO DE MONTREAL SOBRE SUSTANCIAS QUE AGOTAN LA CAPA DE OZONO CONVENCI?N MARCO DE LAS NACIONES UNIDAS SOBRE CAMBIO CLIM?TICO DECLARACI?N DE R?O SOBRE EL MEDIO AMBIENTE Y EL DESARROLLO DECLARACI?N SOBRE BOSQUES LA CONSERVACI?N, PRESERVACI?N Y REFORESTACION DE LOS RECURSOS FORESTALES EN EL PER? LOS BOSQUES Y EL INTER?S DIFUSO LA ADMINISTRACI?N GUBERNAMENTAL DE LOS RECURSOS FORESTALES DEL PER? EL MINISTERIO DEL AMBIENTE EL OEFA Y LOS RECURSOS FORESTALES BOSQUES DE LOS QUE SE ENCARGA EL MINISTERIO DEL AMBIENTE ORGANISMOS ADSCRITOS DEL MINISTERIO DEL AMBIENTE EL MINISTERIO DE AGRICULTURA Y RIEGO EL OSINFOR LA AUTORIDAD REGIONAL DE FLORA Y FAUNA SILVESTRE CAMBIO DE USO DE TIERRAS CON MAYOR CAPACIDAD FORESTAL (BOSQUES) POR USO AGRARIO U OTRO FIN ?QUI?N DEBER?A SER EL ENTE RECTOR DE LOS RECURSOS FORESTALES Y POR QU?? LEGISLACI?N COMPARADA ?ES ECON?MICAMENTE RENTABLE LA PRODUCCI?N AGR?COLA EN TIERRAS DE MAYOR CAPACIDAD FORESTAL? SISTEMAS DE PROTECCI?N MEDIO AMBIENTAL QUE RESULTAN ECON?MICAMENTE VIABLES.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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; both teacher heads agree on what is shown here.
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".