A graphical method to determine the incinerability of municipal solid waste
Bibliographic record
Abstract
Incinerability index (i-Index) is a recently developed multi-dimensional indicator which quantifies the incinerability of municipal solid waste (MSW) incorporating the 3-E concept. However, a limit/range of values needs to be defined within which MSW can sustain incineration autogenously. This article showcases a graphical method to determine the incinerability, called incinerability plot or i-Plot. i-Plot consists of a plot constructed using normalised parameter values. Three incinerability zones are subsequently defined, viz. central non-incinerable zone, followed by incinerable and autogenously incinerable zone. As the distance from the centre of the plot increases, incinerability increases, until it attains self-sustained combustibility towards the outer boundary of incinerable zone. The corresponding i-Index values are used to establish an incinerability range. MSW with i-Index > 45 is hence incinerable, whereas i-Index > 89 is autogenously incinerable for energy recovery. Based on the position of MSW in the plot and the composite indicator value, assessment of incinerability may be made. i-Plot also illustrates the variation in individual parameter scores besides identifying the contribution of individual parameters to the incinerability.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".