Bibliographic record
Abstract
Oceanski unos antropogenog ugljičnog dioksida (CO2) mijenja kemiju morskih voda u svjetskim oceanima s posljedicama na morski život. Povišeni parcijalni tlak CO2 (pCO2) uzrokuje gomilanje zasićenja kalcijevim karbonatom u mnogim regijama, osobito u visokim geogragfskim širinama i regijama koje se presijecaju s izraženim hipoksičkim zonama. Sposobnost morskih životinja, što je najvažnije kod pteropodnih mekušaca, foraminifera i nekih bentoskih beskralješnjaka, da bi stvorili skeletne strukture od CaCO3 izravno su pod utjecajem kemije CO2 morskih voda. CO2 utječe i na fiziologiju morskih organizama, zbog kiselo-bazne (ne)ravnoteže i smanjenog transportnog kapaciteta kisika. Nekoliko studija trenutačnih razina pCO2 ometaju buduću sposobnost predviđanja utjecaja na dinamiku hranidbene mreže i ostalih procesa ekosustava. Ovdje su predstavljena nova zapažanja, pregled dostupnih podataka i identificikacija prioriteta za buduća istraživanja, zasnovanih na regijama, ekosustavima, svojtama i fiziološkim procesima za koje se vjeruje da su najosjetljiviji na zakiseljavanje oceana. Acidifikacija oceana i sinergistički utjecaji drugih antropogenih utjecaja pružaju veliki potencijal za širenje (negativnih) promjena u morskim ekosustavima.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".