Bibliographic record
Abstract
The structures, bonding, energetics, preparation, characterization, and reactions, both stoichiometric and catalytic, are categorized for all paramagnetic hydride complexes (PHC) with terminal hydrides and then bridging hydrides: 58 and 177 crystallographically characterized, respectively, including 49 mixed-valence complexes. Common methods of synthesis are documented and trends in PHC properties are revealed. The tabulated experimentally and theoretical bond energies indicate that PHC with similar ligands have weaker M-H bonds than diamagnetic hydrides. Magnetometry- and EPR-related results are tabulated and interpreted in terms of the bonding. Most complexes with bridging hydrides have reduced magnetic moments due to antiferromagnetic coupling. Hyperfine coupling constants range from small for the Ni III -H-Fe II Ni a C state of [NiFe] and the Fe-H-Fe E 4 (4H) state of [MoFe] nitrogenase to 293 MHz (for matrix-isolated NH(CO) 3) depending on the orbitals involved in bonding and the Fermi contact term. Hydride 1 H NMR resonances were detected for ten compounds with populated paramagnetic states. Reactions featured include oxidation, proton loss, hydrogen atom transfer, hydrogen loss and substitution, hydride transfer and reduction. Brief details of more than 40 homogeneous catalytic processes involving suspected PHC are provided. Since PHC are mainly found for earth-abundant 3 d metals, there continues to be much interest in their properties and uses in sustainable catalysis.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".