PROGRESS IN THE ICDP MALLIK 2002 DATA AND INFORMATION SYSTEM
Bibliographic record
Abstract
This contribution forms part of the scientific activities for the Mallik 2002 Production Research Well Program. The program participants include 8 partners: The Geological Survey of Canada (GSC), The Japan National Oil Corporation (JNOC), GeoForschungsZentrum Potsdam (GFZ), United States Geological Survey (USGS), United States Department of the Energy (USDOE), India Ministry of Petroleum and Natural Gas (MOPNG)/Gas Authority of India (GAIL) and the Chevron-BP-Burlington joint venture group. Since December 2001 the scientific investigations of the Mallik Gas Hydrate Production Research Well Program in the Canadian Mackenzie Delta were supported by a new Data and Information System. Due to the particular conditions and characteristics of methane drilling projects, we were able to elaborate a data management system in three main phases. These phases were realized very close in time and space to the activities and operations at the drill site, and in the laboratories of the Inuvik Research Center: 1.\tThe first approach was to set up a database structure supported by the ICDP Drilling Information System (DIS) during the planning phase since fall 2001. This system encompasses various components helping in administration and operation of the system as well as in presentation of the data. 2.\tDuring the second phase, the drilling period of the main well hole (Mallik5L-38), we installed the Mallik-DIS in a small local network at the Inuvik Research Center, and maintained this system for data acquisition and core scanning. Each day we transferred all digital core pictures and archiving information of the core runs to the confidential Mallik Web sites, under extremely high security precautions. 3.\tWhile the scientific evaluation phase still continues since end of March 2002, several data sets have been already collected, prepared and incorporated into the Mallik Data Warehouse. These processed data have been made available on the Mallik Web sites within the ICDP Information Network (http://www.icdp-online.de/html/sites/mallik/index/index.html). Until now it comprises lithological descriptions, geophysical borehole measurements, gas monitoring data and an archive of all core runs and samples. A request started from the Internet generates results dynamically which accomplish the needs of the user. The user can generate even own litho-logs which enables him/her to compare all kinds of borehole information for his/her scientific work. A highly sophisticated security management due to different defined sub-groups of confidentiality within the Mallik Science Team covers all these functions and services. After the critical part of the Mallik project, which was our first involvement in the highly sensitive gas hydrate research, we gathered a lot of practical experiences. We can underline the success of the data management up to the present. In the remaining project time we intend to integrate more data from further analyses, to realise an integrative database for GSC and GFZ, to approve a general access to these data for all authorized Mallik group members, and to integrate data from previous Mallik drilling investigations (e.g. Mallik2L-38).
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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 | 0.016 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.012 | 0.018 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.014 | 0.011 |
| Open science | 0.008 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.021 | 0.034 |
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".