Comparison of <i> <scp>B</scp> otrytis cinerea </i> airborne inoculum progress curves from raspberry, strawberry and grape plantings
Bibliographic record
Abstract
Airborne B otrytis cinerea conidia concentration was monitored using a new q PCR assay in strawberry, raspberry and grape plantings in 2010, 2011 and 2012. Airborne inoculum progress curves ( IPC s) were constructed and analysed using the maximum ACC ( Y max ), ACC during the flowering period ( Y f ), and area under the IPC ( AUIPC std ) and descriptors derived from fitting growth models. The structure of IPC s was examined by conducting multivariate principal component analyses. The dimensionality of the data was reduced to two principal components ( PC s) accounting for 86·12% of the variation. All descriptors derived from growth models were associated with PC 1 and descriptors derived directly from the data were associated with PC 2. Based on principal component analysis, the structure of the IPC s varied with the crop, with AUIPC std values of 28·18, 42·79 and 155·83 and Y f values of 53·58, 20·14 and 142·54 conidia m −3 h −1 in raspberry, strawberry and grape, respectively. Time to 50% of the maximum inoculum concentration was lower in raspberry and strawberry than in grape. The IPC s monitored in raspberry were characterized by narrow ranges for mean absolute rate (0·012–0·016) and AUIPC std (16·80–48·85), the IPC s monitored in strawberry were characterized by wide ranges for mean absolute rate (0·031–0·080) and AUIPC std (12·31–98·39), and the IPC s monitored in grape crops were characterized by a lower mean absolute rate (0·006–0·012) and a higher AUIPC std (50·95–335·14).
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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) | 0.000 | 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".