Bibliographic record
Abstract
Abortion: abnormal prenatal test results, information options on, 212 Canadian laws on, 205-206 United States laws on, 204-205 wrongful abortion claims, 116-117 Absolute risk, defined, 361 Accessibility problems: abortion laws and, 204-206 availability of genetic testing, 315-317 genetic innovation and protection of information and, 430-431 impact of gene patents on, 335-339 prenatal genetic testing and screening, 66-167, 193-194 disability resources, 213 informed consent barriers, 208-209 Accreditation standards: diagnostic genetics, 109-110 for genetic counseling, 28-29 laboratories, 309-310 psychological aspects of genetic counseling and testing and, 60-61 Accuracy of testing, risk assessment and, 343-344 Acetylcholinesterase (AChE): open neural tube defect diagnosis, 174-175 prenatal screening and diagnosis, 165, 169 Achondroplasia, risk assessment for, 347-348 Actuarial fairness, genetic discrimination in health insurance, 161-162 Addiction, "genetic predisposition" theory, 234-236 Adolescents, genetic susceptibility testing in, 279-280 Adoption studies: diagnostic genetics and wrongful adoption claims, 126-127 neurogenetics, 223-225 Adrenal hyperplasia, risk assessment, null alleles, 348-349 Adult-onset hereditary disorders.See also Common chronic adult disease, family history and genetic screening for Alzheimer's disease, 226 chromosome anomalies, 301-302 family history in, 92-93 genetic susceptibility testing, 116-117 preimplantation genetic diagnosis, ethical issues, 200-201 psychological aspects of genetic counseling and testing, 61-78 ambiguous test results, guidelines for, 71-72 clinical implications of, 74-77 disclosure of result, posttest phase, 66-67 Genetic Testing: Care, Consent, and Liability, by Neil F. Sharpe and Ronald F. Carter C 2006 John Wiley &
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.810 | 0.677 |
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".