Notice bibliographique
Résumé
Life as a new investigator I remember being an eager third year undergraduate student with frost-tipped hair, walking through the corridors of Children’s Hospital of Western Ontario with my supervisor Dr. Matsell, a pediatric nephrologist, to see one of his patients with congenital kidney disease. Dr. Matsell explained the patient’s kidneys had not developed properly, resulting in poor function and thus the need for dialysis. When I asked him why their kidneys failed to develop properly, he simply responded with a slight nod and frown that implied he did not know. At this moment, it clicked. I grasped the clinical impact of the kidney research I was conducting as a summer student. This defining moment has not only helped motivate me through my Ph.D. and post-doctoral fellowship but remains a touchstone for me as an independent investigator. When I first started my laboratory, I was fortunate to share lab space with more established researchers and quickly learned to adopt the mantra of “beg, borrow, and steal” with an abundance of apologies and I.O.Us. In retrospect, integrating my lab with more established laboratories was fundamental to successful start up. These other researchers and their students provided invaluable technical support in experimental protocols, reagents, equipment, and knowledge of the inner workings of the university’s research core facilities. Another crucial early practice was hiring the right research personnel who had the ability to work independently with a high degree of self motivation, as the majority of my time was dedicated to developing my teaching curriculums, teaching, and writing grants. The excitement of buying new equipment and reagents, hiring personal, maintaining transgenic mice, and performing experiments quickly turned to a sense of urgency as the invoices started rolling in and my startup funds were quickly dwindling. Having had no luck in winning the lottery and realizing I had no choice but to pay these invoices, I jumped head first into the anxietyprovoking, stomach-churning process of writing grants. After my first grant was riddled with red marker by internal review, it was clear I had to develop my grantwriting skills. I therefore learned that identifying the right mentors and colleagues who cared about my success and would provide constructive feedback, no matter how painful, was the key to writing effective grants. With a newly found writing plan, experienced internal reviewers, and a smidgen of confidence, I applied for seven grants in my first year, and was awarded none. However, the reviewers’ comments from the granting agencies suggested a level of interest and enthusiasm for my research especially those from the Kidney Foundation of Canada. Therefore, with some positive reviews in hand, a little hope, guidance from mentors, and dedicated research staff, we addressed all the reviewers’ concerns, and in my second grant cycle, I finally received my first grant. Then second. Then third. Then fourth—most for modest amounts of money and for short duration. But at last, I had achieved grant success instrumental for career progression, and most importantly, this allowed me to further my research to generate foundational knowledge toward a cure for congenital kidney disease. I am indebted to the Hamilton Health Sciences New Investigator program, Bickell Foundation, NSERC, and Kidney Foundation of Canada for their support for me as a new investigator. Sadly, the gratification of grant success is too short lived. With funding in hand and productive graduate students settling in, publishing became the next top priority. Again, the cycle of rejections and revisions reared its ugly head and led me to question my research abilities as a new investigator. However, my lab members’ persistence, combined with input from my colleagues, helped me realize this was part of the normal process for a new investigator in getting published. After two rejections and completing a “major revision,” I finally received a response from the editor. This was a milestone moment—I remember exactly where I was and what I was doing—vacillating whether or not to open Correspondence: Bridgew@mcmaster.ca Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Canada Education Program in Anatomy, Hamilton Centre for Kidney Research, Pathology and Molecular Medicine, McMaster University Medical Centre, 1200 Main St. West, Hamilton, Ontario L8N 3Z5, Canada
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
Étiquettes directes de modèles (non validées)
Étiquettes de catégorie et de devis d'étude par modèle, issues des rondes d'étiquetage. C'est une sortie machine, non validée, et le désaccord entre modèles est livré comme donnée. Aucun devis ici n'est encore validé contre MEDLINE.
| Bras | Catégories | Devis d'étude | Confiance |
|---|---|---|---|
| gemma | Métarecherche Domaine: Incitatifs · Genre: Commentaire Porte sur le système de recherche canadien: oui · Porte sur un sujet canadien: non | Sans objet | medium |
| gpt | aucune catégorie Domaine: non disponible · Genre: Commentaire Porte sur le système de recherche canadien: non · Porte sur un sujet canadien: non | Sans objet | low |
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,044 | 0,209 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,011 | 0,008 |
| Communication savante | 0,031 | 0,017 |
| Science ouverte | 0,004 | 0,019 |
| Intégrité de la recherche | 0,019 | 0,042 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,110 | 0,084 |
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 validéeÉtiqueté directement par 2 modèles lisant le dossier complet.
Les modèles divergent sur des parties de cette classification; chaque voix est préservée dans la section en fin de page.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».