Bibliographic record
Abstract
Fann JR, Burington B, Leonetti A, et al . Psychiatric illness following traumatic brain injury in an adult health maintenance organization population. Arch Gen Psych 2004;61:53–61.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q Does traumatic brain injury increase the risk of psychiatric illness? ### ![Graphic][5]</img>Design: Prospective cohort study. ### ![Graphic][6]</img>Follow up period: Three years. ### ![Graphic][7]</img>Setting: Puget Sound area, Washington State, USA; recruited in 1992. ### ![Graphic][8]</img>People: 939 people, aged >15 years, diagnosed with traumatic brain injury according to ICD-9-CM criteria. For each case of traumatic brain injury three people matched for sex, age, and diagnosis date were selected as controls. Exclusions: incomplete medical records for the preceding year; previous traumatic brain injury. ### ![Graphic][9]</img>Risk factors: Mild traumatic brain injury; moderate to severe traumatic brain injury (ICD-9-CM). ### ![Graphic][10]</img>Outcomes: Incidence of any psychiatric disorder determined by diagnosis (ICD-9-CM), … [1]: {openurl}?query=rft.jtitle%253DArchives%2Bof%2BGeneral%2BPsychiatry%26rft.stitle%253DArch%2BGen%2BPsychiatry%26rft.aulast%253DFann%26rft.auinit1%253DJ.%2BR.%26rft.volume%253D61%26rft.issue%253D1%26rft.spage%253D53%26rft.epage%253D61%26rft.atitle%253DPsychiatric%2BIllness%2BFollowing%2BTraumatic%2BBrain%2BInjury%2Bin%2Ban%2BAdult%2BHealth%2BMaintenance%2BOrganization%2BPopulation%26rft_id%253Dinfo%253Adoi%252F10.1001%252Farchpsyc.61.1.53%26rft_id%253Dinfo%253Apmid%252F14706944%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1001/archpsyc.61.1.53&link_type=DOI [3]: /lookup/external-ref?access_num=14706944&link_type=MED&atom=%2Febmental%2F7%2F3%2F88.atom [4]: /lookup/external-ref?access_num=000187894000006&link_type=ISI [5]: /embed/inline-graphic-1.gif [6]: /embed/inline-graphic-2.gif [7]: /embed/inline-graphic-3.gif [8]: /embed/inline-graphic-4.gif [9]: /embed/inline-graphic-5.gif [10]: /embed/inline-graphic-6.gif
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 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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".