Paleoproterozoic Boninite-Iike Rocks in an Intracratonic Setting from Northern Bastar Craton, Central India
Bibliographic record
Abstract
Abstract: Boninite-like rocks represented by high-Ca boninitic dykes, melanogabbro dykes, recrystallized plagioclase bearing high MgO dykes and high-Mg norite suites occur at few places in the vicinity of Meso to Neoproterozoic Chhattisgarh sedimentary basin in the northern Bastar craton in Central India These rocks are formed in an intracratonic setting, not at convergent margin, similar to Archaean boninitic rocks reported from intracratonic settings such as Mallina Basin, Northwest Australia and Abitibi, Optica regions of Canada These high-MgO mafic dykes show a strong boninitic affinity with high SiO2 (>52%), high MgO (9-15%), low TiO2 (0.30-0.54 wt%) and strong LILE enrichment These unusual dykes show distinct mineralogical, petrological and geochemical characteristics and are totally different to that of the normally occurring abundant metadoleritic and metagabbroic dykes in Chhattisgarh region The generation of boninite magmatism requires unique thermal conditions such as shallow melting, elevated geothermal gradient and subducted slab flux On the basis of field, geological, petrological and geochemical inferences on these Chhattisgarh boninitic and noritic dykes, a two-stage melting model and derivation from a strongly depleted mantle source, ennched later by metasomatic events is suggested
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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 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".