3媛쒖쓽 移섍렐�쓣 媛�吏� �븯�븙 �쑀援ъ튂 : 利앸�蹂닿퀬
Bibliographic record
Abstract
Mandibular first molar and primary molars usually have two roots, on the mesial and distal sides.\nOccasionally, these molars have an extra root located in the distolingual aspect. Prevalence of the 3-rooted\nfirst permanent molar shows ethnic variation, ranging from about 3% in Caucasian to about 20% in\nMongoloid group, which includes Chinese, Japanese, Eskimo, American and Canadian Indians. The frequency\nof the mandibular molar with three roots decreases in the order of the first permanent molar, the\nsecond primary molar, and the first primary molar.\nIf the mandibular first or second primary molar has an additional distolingual root, the adjacent molars,\nincluding the first permanent molar, posterior to it also may have it. Coronal morphologic change\ncan occur in the mandibular first primary molars with three roots: the crown had more triangular-shape\ncompared to the one with two roots, possibly affected by the presence of additional distolingual root.\nClinically, exact diagnosis and treatment should be taken with those teeth for pulp canal treatment,\nextraction, and SS Cr
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.041 | 0.009 |
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".