Daily and monthly activity of brown bears (<i>Ursus arctos</i>) near a proposed industrial project in coastal British Columbia
Bibliographic record
Abstract
The Kitimat Liquefied Natural Gas (KLNG) Plant is proposed for construction adjacent to Bish Creek (Kitimat, British Columbia, Canada). Bish Creek is a corridor for brown bears (Ursus arctos), and 8 camera traps were deployed along the creek for 1442 trapping days in 2014 to determine baseline activity of brown bears. Brown bear activity varied across weeks, peaking particularly in July and September. Within a 24-h day, bears were commonly photographed during hours 5, 6, and 21 and uncommonly photographed during the 3 hours preceding noon and a 4-h period in the afternoon. However, the time of day that bears were photographed varied across seasons; bears were more commonly photographed during the day in July and at night in September. Understanding this change in activity across seasons will inform management of bear resources and human activities on-site to avoid human–bear interactions.Se propone la construcción adyacente a Bish Creek (Kitimat, Columbia Británica, Canadá) de la planta Kitimat de Gas Natural Licuado (KLNG, por sus siglas en inglés). Bish Creek es un corredor para los osos pardos (Ursus arctos) en donde fueron puestas ocho cámaras trampa durante 1442 días en 2014 a lo largo del arroyo para determinar la actividad basal de los osos pardos. La actividad de los osos pardos varió a lo largo de las semanas, con un pico particular en julio y septiembre. Durante 24 horas de un día, los osos fueron normalmente fotografiados durante las horas 5, 6 y 21 y raramente fotografiados dentro de las tres horas siguientes al mediodía y durante un período de cuatro horas por la tarde. Sin embargo, el momento del día en el que los osos fueron fotografiados variaron a lo largo de las estaciones: los osos fueron más comúnmente fotografiados durante el día en julio y por la noche en septiembre. La comprensión de este cambio en la actividad a lo largo de las estaciones ayudará a informar acerca del manejo de los recursos de los osos y de las actividades humanas en el lugar para evitar la interacción entre humanos y osos.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".