Modeling cold supply chain environment of organized farm products retailing in India
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
Organized retailing (OZR) is one of the most promising industries in India. The OZR sector of India is now among the top five fastest growing markets of the world. High population, globalization, and the increasing income of middle class etc. are a number of factors that make Indian market more challenging and competitive. In today's globalized world, effective supply chain performance (SCP) is highly important to ensure the productivity in the whole supply chain (SC). In this paper, we investigated the factors that affect cold supply chain performance (CSCP) of organized farm products retailing (OFPR), developed and validated a model. This research will be helpful to formulate better strategies for this sector to a greater extent; this model will also be useful and applicable for other developing Asian countries because of enormous similarities in their market tendencies.
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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) | 0.000 | 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 it