DEVELOPMENT OF A FACILITY FOR AXISYMMETRIC DROP SHAPE ANALYSIS-PROFILE (ADSA-P)
Bibliographic record
Abstract
Axisymmetric Drop Shape Analysis (ADSA) is a computer software package developed in our laboratory [1-8]. It uses digital image analysis to detect the edge of a drop and determines a number of surface parameters including the interfacial tension γ and contact angle θ. The measurement of these quantities is essential to the study of Surface Thermodynamics, and ADSA is capable of determining these parameters with greater accuracy and flexibility than traditional techniques. The software has been refined continuously over a fifteen-year period; however, the hardware had not evolved significantly, and thus remained an improvised collection of parts that was often difficult to use. To remedy this situation an improved facility was designed and built, one which allows the experimentalist to measure more easily and accurately both interfacial tensions and contact angles using ADSA. The design is capable of handling a wide variety of systems and experiments, including the measurement of interfacial tension [1,5,6, 8,9], line tension [1,10-12], film tension [1,13,14], surface pressure [1, 15, 16], surface dilational modulus [1], surface dilational viscosity [1], and contact angles for liquid-fluid systems [1, 2-7]. It also allows these experiments to be conducted under variable conditions, such as high pressure and temperature. This work discusses the development of both the basic facility and Motorized Syringe (MOS) which allows the drop volume to be manipulated.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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 teacher head, 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".