KARATERISTIK MORFOLOGI TANAH DARI BERBAGAI BAHAN INDUK DI DESA WAKOILA KECAMATAN SAWERIGADI, KABUPATEN MUNA BARAT
Bibliographic record
Abstract
Characteristics of the soil formed are influenced by the parent rock as the original material. Different parent rocks have different physical, chemical, and mineral compositions that affect the different characteristics of the soil formed. This study aims to determine the soil morphology characteristics of various parent materials in Wakoila Village, Sawerigadi District, West Muna Regency. This research was conducted by survey method and field analysis of three parent materials. In the three parent materials, the external characteristics and internal characteristics of the profile were observed. Based on the results of the study showed that the morphological characteristics of the soil from the parent material of gravel (PI), alluvium deposits (PII) and limestone (PIII) have various soil morphological characteristics, both soil color, soil solum depth, horizon thickness, horizon symbol, soil texture, soil structure, soil consistency and soil pores. Soils made from gravel are characterized by a coarser soil texture, whereas soils from limestone tend to have a higher clay content. Meanwhile, soils made from alluvium deposits are characterized by darker soil colors and tend to have more pores.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".