Coupling of the International Society for Contact Lens Research with the Evolution of Soft Contact Lenses
Bibliographic record
Abstract
The advent of soft contact lenses and the paucity of knowledge of the new modality encouraged some leading minds of the time to form a new society, the International Society for Contact Lens Research. The purpose was to provide a forum for the exchange of information on the most current research and developments of contact lenses and its effects on the eye. The limited membership of the society that the founders proposed was to stage scientific meetings that would have minimal presentation time to allow for maximum discussion time of the presented information. Unconcerned about the risk of failure and recriminations of establishing a society of limited membership, the bold steering committee invited researchers involved in this new science and development of contact lenses to become members. The steering committee also realized that it was necessary to enfold the contact lens industry and their scientists in the society. Here we outline that journey from 1978 and how the society has maintained currency. The society, through its scientific meetings, can lay claim to fostering research that led to important developments in the field of contact lenses.
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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 | 0.014 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.015 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.021 | 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".