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Record W1976077206 · doi:10.2113/8.4.335

Geoenvironmental Mapping: Methods, Theory and Practice

2002· article· en· W1976077206 on OpenAlexaboutno aff
Peter Bobrowsky

Bibliographic record

VenueEnvironmental and Engineering Geoscience · 2002
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological Modeling and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsGeologic mapGeologyLandformGeological surveyHydrology (agriculture)Earth scienceGeomorphology

Abstract

fetched live from OpenAlex

* ENGINEERING-GEOLOGY MAPPING OF SLOPES AND LANDSLIDES REGOLITH-LANDFORM MAPPING: AN AUSTRALIAN ENVIRONMENTAL MAPPING OF GEOCHEMICAL SYSTEMS * MULTILEVEL GEOLOGIC HAZARD ASSESSMENT MAPPING IN THE RIO GRANDE GORGE, NORTHERN NEW MEXICO, USA * CALIFORNIA'S SEISMIC HAZARDS MAPPING ACT:GEOSCIENCE AND PUBLIC POLICY * SUBSURFACE GEOLOGIC MAPPING FROM DESCRIPTIVEAND PETROPHYSICAL BOREHOLE LOGS * MAPPING WITH ALLOSTRATIGRAPHIC FRAMEWORKS: IMPLICATIONS FOR UNDERSTANDING ALLUVIAL LANDSCAPES IN SOUTHERN BURGUNDY, FRANCE * MINERAL EXPLORATION AND ENVIRONMENTAL APPLICATIONS OF LAKE SEDIMENT GEOCHEMICAL MAPPING IN THE CANADIAN CORDILLERA * AGGREGATE POTENTIAL MAPPING *'HOT SPOTS' AND 'SENSITIVE AREAS': CONTRIBUTION OF REMOTE SENSING TO GEOENVIRONMENTAL MAPPING IN LEBANON * GEOENVIRONMENTAL MAPPING IN SOUTHWESTERN SASKATCHEWAN: RAINFALL EROSION POTENTIAL * BATHOMETRIC DATA FOR 2D AND 3D LANDSCAPE MAPPING * GEOENVIRONMENTAL MAPPING FOR GROUNDWATER PROTECTION IN ILLINOIS, USA * THE DEVELOPMENT AND SIGNIFICANCE OF A GEOLOGIC SENSITIVITY MAP OF THE ROUGE RIVER WATERSHED IN SOUTHEASTERN MICHIGAN, USA * MAPPING RIVER CHANNELS AND VELOCITY FIELDS FOR ENVIRONMENTAL ANALYSIS * FLOODPLAIN HAZARD ASSESSMENT: APPLICATION TO FOREST LAND MANAGEMENT IN BRITISH COLUMBIA, CANADA * ENVIRONMENTAL GEOLOGY MAPPING FOR URBAN PLANNING IN LITHUANIA * NATURAL HAZARD MAPPING IN SMALL URBAN AREAS,ANTIOQUIA, COLOMBIA * DIRECT AND INDIRECT ANTHROPOGENIC MODIFICATIONS IN THE BASIN OF MEXICO * ENCOURAGING BETTER USE OF GEOLOGICAL INFORMATION BY PLANNERS AND DEVELOPERS IN ENGLAND * GEOENVIRONMENTAL MAPPING APPLIED TO URBAN SETTLEMENTS: LA VALL DE GALLINERA, ALICANTE, SPAIN * MEDICAL GEOLOGY: METHOD, THEORY AND PRACTICE * THE GEOGRAPHY OF DISEASE FAMILY TREES:THE CASE OF SELENIUM * MAP REPRESENTATION OF INDICATORS FOR ASSESSING ENVIRONMENTAL IMPACTS OF MINING IN THE ZAMBIAN COPPERBELT * HAZARD RISK ASSESSMENT IN RUSSIA * AN OVERVIEW OF VOLCANIC HAZARD MAPS: PAST, PRESENT AND FUTURE * GEOLOGICAL RADON POTENTIAL MAPPING * THE MAKASSAR STRAIT TSUNAMIGENIC REGION, INDONESIA * TSUNAMI DEPOSIT MAPPING AT SEASIDE, OREGON, USA * ACTUAL AND POTENTIAL DOLINE SUBSIDENCE HAZARD MAPPING: CASE STUDY IN THE EBRO BASIN (SPAIN) * MAPPING IN THE INTERPRETATION AND RISK ASSESSMENT OF FLOWSLIDES IN SENSITIVE QUATERNARY MUDDY SEDIMENTS * QUANTITATIVE PREDICTION MODEL FOR LANDSLIDE HAZARD MAPPING: TSITIKA AND SCHMIDT CREEK WATERSHEDS, NORTHERN VANCOUVER ISLAND, BRITISH COLUMBIA, CANADA

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.023
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.023
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.029
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0080.015
Science and technology studies0.0020.015
Scholarly communication0.0150.010
Open science0.0050.007
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0090.003

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.

Opus teacher head0.015
GPT teacher head0.193
Teacher spread0.178 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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".

Quick stats

Citations91
Published2002
Admission routes1
Has abstractyes

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