Factors That Influence the Selection of the Solo Soemarmo Airport Train Mode
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Government through the National Railway Master Plan has launched the development of the Airport Railway Network and Services to facilitate passenger mobility, one of which is the construction of the Adi Soemarmo Airport train. In April 2017 a groundbreaking project for the development of the Adi Soemarmo Airport, Boyolali District by the President of the Republic of Indonesia was scheduled to be operational in 2019. This study uses a discrete choice model to express the opportunities of each passenger to use the airport train. The research instruments were prepared using predictor variables developed from service dimensions according to Gaspers. The sample used was 200 respondents with random sampling techniques. The data collected is processed using a binary logical regression model because the response variable is in the form of a dichotomy. The results showed the accuracy of the train schedule and affordability of train fares affect the willingness to use airport trains.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 it