PICES-GLOBEC International Program on Climate Change and Carrying Capacity: Report of the 1999 MONITOR and REX Workshops, and the 2000 MODEL Workshop on Lower Trophic Level Modelling
Bibliographic record
Abstract
Table of Contents [pdf, 0.11 Mb] Executive Summary [pdf, 0.07 Mb]MODEL Task Team Workshop ReportFinal Report of the International Workshop to Develop a Prototype Lower Trophic Level Ecosystem Model for Comparison of Different Marine Ecosystems in the North Pacific [pdf, 11.64 Mb]Report of the 1999 MONITOR Task Team Workshop [pdf, 0.32 Mb]Report of the 1999 REX Task Team WorkshopHerring and Euphausiid population dynamicsDouglas E. Hay and Bruce McCarterSpatial, temporal and life-stage variation in herring diets in British Columbia [pdf, 0.10 Mb]Augustus J. Paul and J. M. PaulOver winter changes in herring from Prince William Sound, Alaska [pdf, 0.08 Mb]N. G. ChupishevaQualitative texture characteristic of herring (Clupea pallasi pallasi) pre-larvae developed from the natural and artificial spawning-grounds in Severnaya Bay (Peter the Great Bay) [pdf, 0.07 Mb]Gordon A. McFarlane, Richard J. Beamish and Jake SchweigertPacific herring: Common factors have opposite impacts in adjacent ecosystems[pdf, 0.15 Mb]Tokimasa Kobayashi, Keizou Yabuki, Masayoshi Sasaki and Jun-Ichi KodamaLong-term fluctuation of the catch of Pacific herring in Northern Japan [pdf, 0.39 Mb]Jacqueline M. O’ConnellHolocene fish remains from Saanich Inlet, British Columbia, Canada [pdf, 0.40 Mb]Elsa R. Ivshina and Irina Y. BraginaOn relationship between crustacean zooplankton (Euphausiidae and Copepods) and Sakhalin-Hokkaido herring (Tatar Strait, Sea of Japan) [pdf, 0.14 Mb]Stein KaartvbeedtFish predation on krill and krill antipredator behaviour [pdf, 0.08 Mb]Nikolai I. NaumenkoEuphausiids and western Bering Sea herring feeding [pdf, 0.07 Mb]David M. Checkley, Jr.Interactions Between Fish and Euphausiids and Potential Relations to Climate and Recruitment [pdf, 0.08 Mb]Vladimir I. Radchenko and Elena P. DulepovaShall we expect the Korf-Karaginsky herring migrations into the offshore western Bering Sea? [pdf, 0.75 Mb]Young Shil KangEuphausiids in the Korean waters and its relationship with major fish resources [pdf, 0.29 Mb]William T. Peterson, Leah Feinberg and Julie KeisterEcological Zonation of euphausiids off central Oregon [pdf, 0.11 Mb]Scott M. RumseyEnvironmentally forced variability in larval development and stage-structure: Implications for the recruitment of Euphausia pacifica (Hansen) in the Southern California Bight [pdf, 3.26 Mb]Scott M. RumseyInverse modelling of developmental parameters in Euphausia pacifica: The relative importance of spawning history and environmental forcing to larval stage-frequency distributions [pdf, 98.79 Mb]Michio J. Kishi, Hitoshi Motono & Kohji AsahiAn ecosystem model with zooplankton vertical migration focused on Oyashio region [pdf, 33.32 Mb]PICES-GLOBEC Implementation Panel on Climate Change and Carrying Capacity Program Executive Committee and Task Team List [pdf, 0.05 Mb](Document pdf contains 142 pages)
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.049 | 0.011 |
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".