Bibliographic record
Abstract
Objective Through to periphery small lung cancer sign analysis,appraisal basic sign and other signs to its diagnosis application value.Methods The periphery small lung cancer which confirmed to 57 example pathology carries on the analysis. And ordinary CT thin layer (3mm) scans 11 examples; Screw CT convention adds the thin layer scanning(level thick 3mm,enters bed speed is 3mm/s,reconstructs 3mm) 25 examples,the convention raises resolution CT scanning(level thick 1mm,spacing 3mm) 12 examples,conventional Canada strengthens 9 examples.Results The surroundings small lung cancer sign includes:The burr drafts,accounts for 89.5%; The sublobe drafts,accounts for 86.0%; The pleural membrane drafts hollowly,accounts for 80.7%; The blood vessel gathers drafts,accounts for 56.1%; The vacuole drafts,accounts for 57.9%; The cavity drafts,accounts for 5.3%; The bronchial tube gasification drafts,accounts for 22.8%; The lump stove pleural membrane side strip laminated shape shade,accounts for 22.8%; The drainage bronchial tube interruption drafts,accounts for 7.0%; The ground glass drafts,accounts for 1.8%. Conclusion Scans or high resolution C with the thin layer the Tscanning is periphery the small lung cancer diagnosis and the differential diagnosis important method.
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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) | 0.001 | 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) | 0.008 | 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".