HIGHLY SELECTIVE LEAD (II) MEMBRANE ELECTRODE BASED ON NEW OXIM PHENYL 2-KETO METHYL QUINOLINE (OPKMQ)
Bibliographic record
Abstract
Nous avons reussi a developper une electrode ionique selective basee sur le nouveau compose oxim phenyl 2-keto methyle quinoline (OPKMQ) comme porteur neutre, pour la determination du plomb en solutions aqueuses. Cette electrode affiche une reponse lineaire avec une pente Nernstienne de 26.8′0.2 mV par dizaine dans une gamme de concentration de 1.0×10 - 5 - 1.0×10 - 1 M en ion plomb. La limite de detection, telle que determinee a l'intersection des segments lineaires extrapoles de la droite de calibration, etait de 1.0× 10 - 5 M. L'electrode montre une grande selectivite pour Pb (II). Le temps de reponse de l'electrode etait d'environ 10 s pour une concentration de 1.0×10 - 3 M. L'electrode peut etre utilisee en solutions aqueuses dans la gamme de pH de 3 a 5.5. Elle a ete utilisee comme electrode indicatrice pour le titrage du Pb (II) par le chromate pH constant. Cette electrode a servi a la determination du plomb dans des echantillons reels et les resultats etaient en accord avec ceux obtenus par SAA.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".