Evolución de la doctrina legal sobre devengo de intereses en el pago de certificaciones de obra. La reclamación post pago del principal y las novedades traídas por el RDLey 4/2013
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.
Bibliographic record
Abstract
With the rising demand for clinical genetics services, it is a challenge for clinical geneticists to meet the needs of patients and referring primary care providers in a timely way, using current models of genetics health care delivery. One method of providing primary care providers with greater access to clinical genetics expertise is through an electronic consultation (eConsult) service. We describe here a pilot project of a clinical genetics eConsult service that our genetics centre in Eastern Ontario, Canada provided, using the Champlain Building Access to Specialists through eConsultation (BASE)<sup>TM</sup> web-based application. We analyzed 111 genetics eConsults submitted by primary care providers to a single clinical geneticist over a 28-month time period. More than half (54%) of the eConsult questions were regarding (1) hereditary cancer and (2) genetic syndromes, with the remainder encompassing a wide variety of clinical genetics topics. We avoided a referral to the Genetics clinic for an in-person appointment for 30% of the eConsult cases, based on a contemplated referral rate to Genetics clinic of 72% prior to eConsult and a planned referral rate to Genetics clinic of 42% following all eConsults. Primary care providers rated the eConsult service of high value to themselves and also to their patients. This pilot service supports the potential of an eConsultation service to create a stronger and more dynamic link between clinical genetics and primary care providers, which may lead to better patient care.
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.
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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it