Bibliographic record
Abstract
Climatological Association Accelerated atherosclerotic vascular disease, 71t Accreditation Council for Graduate Medical Education (ACGME), 128 Accrual to Clinical Trials platform, 67 Acne, 71t Acute coronary syndrome, 47 Acute kidney injury (AKI), 234, 237, 238, 242, 245 Acute lung injury/ARDS, 234 Acute respiratory distress syndrome (ARDS), 162, 163, 172, 237, 242 Acute respiratory failure, 171-173, 176 Adeno-associated viral (AAV), 7, 211, 204, 214, 216-218, 226, 231, 232 AAV2, 221 in liver, clinical trial, 213t variants, 215 vector (AAV), 206-207t, 209-212, 219 Adenosine deaminase (ADA), 205, 206-207t Adenosine monophosphate-activated protein kinase (AMPK), 30 Adenoviral vectors, 115 Adenovirus, 7 encoded FixR, 144f ADI.See Area Deprivation Index A-domain, 39 Adults, 206-207t Advanced analytics, complexity theory, and clinical heterogeneity, 56-68 "Advancing the Academic Health System for the Future," 94-95 Aequanimitas, ci Aerobiology, 197 Affective component, 169 Afferent signals, 168f Affordable Care Act, 13, 23 African Americans, 155, 248, 252-256, 260 and cancer, 149 and kidney function, 247 children, and asthma, 182 COVID mortality, 18 dying of asthma, 190 hospital admissions, 15 men, 121, 122f patients, 11, 249 population/population growth, 12, 18 survival rate, 14 women, 274 "Agamemnon's Fate and the Medical Profession," ci Agarwal, Anupam, 257 Age, 253, 254, 255 Agency for Healthcare Research and Quality (AHRQ), 127 Agonistic ligand, 234 Agonists, 47 AHRQ, 128 AHS.
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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.036 | 0.018 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.850 | 0.774 |
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".