Notice bibliographique
Résumé
After three Feature single theme issues in 5 months (August, October, and December 2014), readers are likely wondering if that is the new focus of Optometry and Vision Science (OVS). Although we know readers and authors appreciate Feature theme issues, we also know that many general readers like to have a range of interesting topics to update them. That range of topics can be found in this February OVS issue. Hence, from “soup to nuts.” We open with a trip down memory lane for those of you who have a love of railway travel and its accompanying vision implications and standards. Some 140 years ago, there was a now-famous railway crash that took nine lives in Sweden (near Lagerlunda, Sweden, in 1875) and was for most of the intervening 140 years since then attributed to color-defective vision or “color blindness” of the engine driver. Color vision standards for railway locomotive drivers were almost universal within a few years of Holmgren (of the Holmgren wool color vision test) writing that he “supposed that color-blindness was one of the principal causes of the accident.”1 Indeed, so influential was the assertion that color blindness led to the train crash that new attention and color vision standards were introduced and in many ways heralded the beginning of occupational vision standards that became implemented in many countries around the world. One can certainly view the incident as stirring appropriate interest at least in color vision standards for the railways. A series of “lantern” tests of color vision have emerged ever since, some adopted by international standards organizations. That the incident in Sweden was likely not simply caused by defective color vision was only recently elucidated by a fine post hoc evaluation of the details of the actual event by Mollon and Cavonius2 just 3 years ago. They concluded that although the color-defective vision hypothesis was plausible, “there is no firm evidence that color deficiency did cause the collision.” They identified a number of other factors that undoubtedly contributed to the accident. In this February issue of OVS, we lead with three articles that deal with color vision testing in the railways. Our authors introduce a new Railway LED Lantern Test already adopted in one state in Australia. Our authors propose this new lantern test of color vision for railways personnel and compare it favorably with those recommendations made by the international standards community (Commission Internationale de l’Éclairage).3 The only other railways lantern test currently available and in use is the CN Lantern used on the Canadian Railways test. I encourage readers to read these articles; I believe that these papers are very likely the forerunners of the adoption of a very practical modern test for many railroads around the world. We move from color vision tests to six papers on cornea and contact lenses (CLs) that cover CL care and adverse events, simultaneous focus from CL, corneal sensitivity, corneal refractive surgery, a perspective on inflammation and keratoconus, and stereo changes after LASIK (laser-assisted in situ keratomileusis). We follow this with two papers on binocular vision problems, reading and crowding issues, and academic performance and refractive error. We then return to our Clinical Pearls and four papers on clinical cases in the online-only section: they are rich in color images. Tony Adams, OD, PhD, FAAO Editor in Chief Optometry and Vision Science
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,002 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».