Colours of Natural Waters: 2. Observation of Spectral Variations in British Columbia Rivers
Bibliographic record
Abstract
rll 5;3;;8 rrnr.Surh an lntroduction ln our companion papc'r'(Jerome et r1.1994) te hu c tlcscribed hor the observed colour-of r natlr.rl\.rt."I'n,llin ternrol llr, ,lurrinrrrrt s:rr.lc'ngLhol its uplelling irradiancc spcclnrn) rs a direcl consequencr ofthc absolption and statler' ing prope|tics (as a fLrnctiorr of $arelength) that nav bc'uonfidentlv ascribed to a unir c,,"ce',,tation oferch oftirc principrl organic and inorganit: comporcnls r)f LhaL \\.ltef bod].Natrrral rraLer m:rsses.particularlv lhose slr-ong1,' influenced hJ thc proxinritl of lancJ rnasses.clispl:rv both spatial and lcrrporal rariation-s in theil organic anrJ inolganit'rompositions.Conscqucntlv.thr:r *ill h characlerized bv relatcd r aliabilities in theil associatcrl rlorrinant tavclcngths.Such colrLrl variaLilit,v is exhibitcd throughout thc Rritish Columbia liver s,v-.tems.This is a rcsLrlt of the geologir::rl ancl vegetativc dircr-sitv charac terizing the (laradian Corclillcla and thcirrpact oi such diversitv on thc compositiorr of associated natural rralcl bodies-
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".