MEMORY CONFIDENCE AND FALSE MEMORIES IN SCHIZOPHRENIA
Bibliographic record
Abstract
2Universitätsklinikum Hamburg-Eppendorf, Klinik für Psychiatrie und Psychotherapie, Germany; 3Department of Medicine and Research, Riverview Hospital, Port Coquitlam, British Columbia, Canada; 4Department of Psychology, University of British Columbia, Vancouver, British Columbia, Canada. Reprint requests should be sent to: Dr. Steffen Moritz, University Hospital Hamburg-Eppendorf, Hospital for Psychiatry and Psychotherapy, Martinistrasse 52, 20246 Hamburg, Germany. E-mail: [email protected] This study was sponsored by a grant awarded to Dr. Moritz by the German Academic Exchange Services (DAAD) as well as the Dr. Norma Calder Foundation, the Canadian Psychiatric Research Foundation and the Canadian Institutes of Mental Health Research (Dr. Todd Woodward). The authors thank Jennifer Whitman, Carrie Cuttler, Tonya Kragelj, and Ailin Wu for their help conducting and performing the present study.
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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 | 0.003 | 0.041 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".