Receptors and Ligands for Collectins Surfactant Proteins A and D
Bibliographic record
Abstract
I. Introduction 88II. Collectins and Related Proteins 89III. Tissue Distribution of SP-A and SP-D 91IV. Potential Functions of SP-A and SP-D 91V. Structure of SP-A and SP-D 91VI. Ligands for SP-A and SP-D 93A. Lipid Ligands for SP-A and SP-D 93SP-A and Lipids 93SP-D and Lipids 95B. Saccharide Ligands for Collectins 96Saccharide Ligands and SP-A 96Saccharide Ligands and SP-D 97VII. Cells and Receptors 99A. Cells 99Type II Cells 99Alveolar Macrophages 100Polymorphonuclear Leukocyte 101Dendritic Cells 101Eosinophils, Basophils, and Mast Cells 101Lymphocytes 102Current affiliation: Hospital for Sick Children Research Institute, Toronto, Ontario, Canada.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.007 | 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 teacher head, 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".