Bibliographic record
Abstract
Abstract Unlike in the case of Gram‐negative bacilli, it can be difficult to definitively identify Gram‐positive cocci and bacilli to the genus and species levels. Gram‐positive bacilli have been difficult to identify because pathogens have to be discerned from hundreds of validly named species that are found in the environment or are part of the normal microbiota of the human body, including the skin, mucosal membranes, oropharynx, and genitourinary and gastrointestinal tracts, and the taxonomy of such agents is both evolving and being augmented. For species‐level identification of viridans group streptococci, enterococci, and corynebacteria, commercial kits are often easier to perform than standard tube biochemical tests, but both approaches have limitations in accuracy. Because of the lack of unique colony morphologies for many Gram‐positive microorganisms, the Gram stain must be performed on isolates for identification. Gram‐variable microorganisms are considered Gram positive.
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 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) | 0.000 | 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".