General characteristics of paternity test applicants
Bibliographic record
Abstract
Aim: This research was done to fill the gap in research on the social dimensions of paternity testing by determining the reasons for the suspicion and some characteristics of families who applied for a paternity test. Materials and methods: This research was performed with 50 men that applied for paternity testing. The bi-sectional questionnaire was conducted by means of the interview method. The questionnaire comprised questions on age, education, the reason for and duration of paternity suspicion, domestic violence linked to the paternity suspicion, and plans for the future following the test. The data were assessed with SPSS 10.0 and chi-square test for one sample. Results: The age of the participating mothers and men was mainly between 31 and 45 years. All mothers and fathers were literate. The duration of suspicion was between 1 month and 30 years. The frequency of domestic violence related to the uncertainty of paternity was 50%. While 34% of men stated they would take responsibility for the child if the result was negative, and 28% said they would discontinue any communication. Conclusion: The assessment of the results shows that, except for future plans, significant differences exist in all data.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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; 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".