Bibliographic record
Abstract
Department of Civil Engineering, TKM College of Engineering has been organizing a series of biennial conference on modeling and simulation in Civil Engineering since 2011. The fifth edition of the International Conference on Modeling and Simulation in Civil Engineering (ICMSC 2019) was organized as part of the Diamond Jubilee Celebrations of the college and was held at the college during 11-13 December, 2019. The conference provided a platform for the experts in the field and academicians to share, debate and promote ideas on modeling and simulation in various streams of Civil Engineering such as Structural Engineering, Hydraulics and Water Resources Engineering, Geotechnical Engineering, Environmental Engineering, Transportation Engineering, Building Technology and Construction Management. The conference was inaugurated by Prof. Slobodan P. Simonovic, Professor Emeritus, Department of Civil and Environmental Engineering, University of Western Ontario, London, Canada. Keynote lectures are delivered by Prof. Slobodan P. Simonovic, Prof. Vahid Nourani (University of Tabriz, Iran), Prof. Narayanan Neithalath (Arizona State University, USA), Prof. C. S. Manohar (Indian Institute of Science, Bangalore), Prof. R. G. Robinson (Indian Institute of Technology, Madras) and Prof. Bhargab Maitra (Indian Institute of Technology, Kharagpur). The proceedings of the conference contains 56 papers out of the 115 papers presented at the conference. The papers were selected from over 170 submissions through a meticulous review process performed by experts in the field from premier institutes at the international, national and state level. We would like to thank the keynote speakers, authors, presenters, reviewers and session chairs for their contribution to the success of ICMSC 2019. We express our sincere thanks to Dr. Shahal Hassan Musaliar, Chairman, TKM College Trust, Er. T. K. Jalaluddin Musaliar, Treasurer, TKM College Trust, Dr. T A Shahul Hameed, Principal, TKM College of Engineering and all members of the TKM College Trust for their unconditional support towards organizing the conference. We would like to express our sincere thanks to all faculty members, staff and students of the Department of Civil Engineering, TKM College of Engineering for their whole hearted support. The conference was organized with financial assistance from TEQIP (Technical Education Quality Improvement Programme). We have received financial support from TKM College Trust, Institution of Engineers (India) and TKM College of Engineering Alumni Association also. We place on record our gratitude to all sponsors of the conference. Finally, we express our sincere thanks to the team of IOP Conference series lead by Kayleigh Parsons for bringing out this proceedings. Dr. M. Sirajuddin Convener Dr. Sajeeb R. and Dr. Adarsh S. Coordinators International Conference on Modeling and Simulation in Civil Engineering Department of Civil Engineering TKM College of Engineering, Kollam, Kerala, India.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.556 | 0.412 |
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".