Experimental Models for the Study of Female and Male Sexual Function
Bibliographic record
Abstract
INTRODUCTION: Significant progress has been made in the understanding of physiological and pharmacological mechanisms of human sexual functioning through preclinical research in animal models. AIM: To provide an evidence-based documentation of the experimental models evaluating male and female sexual function for useful clinical translation. METHODS: Consensus discussion over the past 18 months leading to summarized views of seven experts from six countries. MAIN OUTCOME MEASURE: Report was based on the critical analysis of scientific information available in literature and subcommittee presentations, discussions, and exchanges of ideas and feedback. RESULTS: Fundamental research in animal models has led to considerable understanding of the physiological mechanisms underlying desire, arousal, genital, and other sexual responses and the design of rational pharmacological treatments for certain sexual dysfunctions in the male and female. Tissue and cellular in vitro systems have provided critical information on the in vivo interactions and modulations in the presence and absence of chemical, biological, vascular, neurologic, endocrine, and genetic inputs. The animal models seem indispensable for elucidating the biophysiological and etiopathological aspects of male and female sexual disorders. CONCLUSIONS: Useful insights into the human experience have been derived from basic research in ways that are far more difficult to obtain in humans, both scientifically and ethically. The animal model with a good predictive value can be used as a successful preclinical tool so long as the functional end points are homologous or analogous. The key issue is whether further evaluations are warranted to extrapolate the results in a clinical setting.
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 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 | 0.020 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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; 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".