Receptors and Ligands for Collectins Surfactant Proteins A and D
Bibliographic record
Abstract
I. Introduction 88 II. Collectins and Related Proteins 89 III. Tissue Distribution of SP-A and SP-D 91 IV. Potential Functions of SP-A and SP-D 91 V. Structure of SP-A and SP-D 91 VI. Ligands for SP-A and SP-D 93 A. Lipid Ligands for SP-A and SP-D 93 SP-A and Lipids 93 SP-D and Lipids 95 B. Saccharide Ligands for Collectins 96 Saccharide Ligands and SP-A 96 Saccharide Ligands and SP-D 97 VII. Cells and Receptors 99 A. Cells 99 Type II Cells 99 Alveolar Macrophages 100 Polymorphonuclear Leukocyte 101 Dendritic Cells 101 Eosinophils, Basophils, and Mast Cells 101 Lymphocytes 102 Current affiliation: Hospital for Sick Children Research Institute, Toronto, Ontario, Canada.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.015 |
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".