REVISIONES CRÍTICAS DE ESTABILIDAD Y DE POTENCIAL DE FOTOSENSIBILIZADOR DE FERROCIANUROS METÁLICOS: UN POSIBLE MINERAL PREBIÓTICO PARTE III.
Bibliographic record
Abstract
Los ferrocianuros de cobre, lantano, mercurio, molibdeno, plata, titanio y zinc se sintetizaron y caracterizaron mediante análisis elemental y estudios espectrales. La estabilidad de los ferrocianuros metálicos sintetizados se registró en calor (varias temperaturas), varias concentraciones de ácidos (HCl, H2SO4, HNO3, CH3 COOH) varias concentraciones de bases (NaOH, KOH, NH4OH), y en agua de mar y de grifo. Todas las estabilidades se registraron a temperatura ambiente y de ebullición. La estabilidad de los ferrocianuros metálicos sintetizados también se registró en presencia de radiación visible y ultravioleta. El potencial oxidante y fotosensibilizante de los ferrocianuros metálicos sintetizados se probó con yoduro de potasio y la solución de almidón recién preparada indicó que el ferrocianuro de cobre es un posible oxidante fuerte y fotosensibilizador. Se descubrió que los ferrocianuros de molibdeno, mercurio y tungsteno actúan como oxidante débil y fotosensibilizador. El lantano y el ferrocianuro de zinc no mostraron ningún potencial oxidante y fotosensibilizante.
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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 | 0.009 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".