Netrin-1 expression in the adult mouse striatum
Bibliographic record
Abstract
L'autelD' a accord une licence non exclusive pemleuant la Bibliothque nationale du Canada de reproduire, prter, distribuer ou vendre des copies de cette thse sous la forme de microfichel~de reproduction sm papier ou sur format lectronique.L'auteur conserve la proprit du droit d'auteur qui protge cette thse.Ni la thse Di des extraits substantiels de celle-ci ne doivent tre imprims ou autrement reproduits sans son autorisation.Although aU of the results presented here are my own, 1owe thanks to many people for their guidance and assistance.1thank the members of the complex neural systems group (the Beaudet, Jones, and Petrides laboratories) for their assistance with neuroanatomical mapping.The members of the Sadikot and Kennedy labs, past and present, have provided me with stimulating discussion and technical assistance throughout my graduate work.1also extend thanks to the security and building maintenance crew of the MNI for providing us with the infrastructure to conduct research and access to it at aIl hours.Cenain individuals have provided me with exceptional assistance, and 1 would like to thank them with an adjective that, in my mind, most fits their contribution.They are Colleen Manitt: attention to delail~Kelvin Luk: ingenuity; Elia AbiJaoude: resolve; and Mario Alonso-Vanegas: Vision. 1 would especially like to thank Dr. Abbas Sadikot for his uncompromising intellectual standards, which have kept us aIl aiming high
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".