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Record W2012673547 · doi:10.2466/pms.2001.92.3c.1180

Geophysical Variables and Behavior: XCV. Annual January Rainfall May Modulate the Incidence of Luminous Phenomena within the San Francisco Basin

2001· article· en· W2012673547 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePerceptual and Motor Skills · 2001
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicEarthquake Detection and Analysis
Canadian institutionsLaurentian University
Fundersnot available
KeywordsStructural basinTectonicsPrecipitationCorollaryGeologyPhysical geographyGeographySeismologyPaleontologyMeteorologyMathematics

Abstract

fetched live from OpenAlex

The role of precipitation as a modulator of processes that influence the numbers of reports of anomalous luminous phenomena was investigated within the San Francisco Basin for the years 1950 through 1969. More than 50% of the variance in the numbers of these reports was accommodated by the amount of rainfall during the months of January. The relationship was strongest for events within 100 km of the city. Years in which January rainfall exceeded 8.5 in. and the numbers of earthquakes within the basin increased were associated with the largest numbers of general reports within 400 km from the city, particularly if the previous year had been drier and displayed less seismic activity. Application of the equation to years 1970 through 1995 predicted that above average (z score > 1.5) numbers of luminous displays should have occurred during the years 1973, 1993, and 1995. The results support the corollary of the tectonic strain theory that fluid injection or hydrological loads, natural or man-made, can affect the processes of tectonic strain which facilitate the creation of unusual luminous phenomena.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.225
Threshold uncertainty score0.841

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.007
GPT teacher head0.205
Teacher spread0.198 · 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