Bibliographic record
Abstract
A dataset containing 1628 species occurrences available in GBIF matching the query: { "and" : [ "Country is Canada", "DatasetKey is iNaturalist Research-grade Observations", "Geometry POLYGON((-95.15121 49.38629,-95.13336 48.25195,-94.14459 48.09814,-93.12424 48.4964,-91.83334 48.18878,-90.40993 48.0899,-89.95914 48.00682,-89.00162 47.71637,-87.4498 48.5321,-86.61346 47.99927,-84.94904 47.01599,-84.38873 45.82397,-82.20795 45.13733,-82.39471 43.17078,-83.15826 42.03918,-83.20221 41.85242,-82.39609 41.81122,-80.63553 42.26715,-79.00612 42.81509,-79.06242 43.29712,-77.79831 43.64868,-76.79581 43.66791,-76.42948 44.07097,-76.1768 44.22203,-76.18504 44.23576,-75.90969 44.37172,-75.82729 44.42802,-75.77717 44.50012,-75.64259 44.60793,-75.46303 44.73221,-75.29549 44.84207,-75.18013 44.88464,-74.99748 44.96292,-74.83131 45.01373,-74.6981 45.00137,-74.5443 45.04669,-74.39598 45.1442,-74.46327 45.24994,-74.37384 45.56271,-74.48507 45.59532,-74.53228 45.59258,-74.62772 45.63583,-74.79115 45.63789,-74.94564 45.64133,-74.96418 45.62073,-75.0967 45.58708,-75.24708 45.58159,-75.32896 45.53764,-75.43951 45.52082,-75.5559 45.48031,-75.62113 45.4707,-75.68945 45.45731,-75.70147 45.42778,-75.74438 45.41542,-75.76567 45.39619,-75.83639 45.36839,-75.90488 45.41405,-75.97698 45.47722,-76.05869 45.51292,-76.11912 45.52597,-76.23104 45.51361,-76.25576 45.47447,-76.31344 45.45044,-76.38691 45.46898,-76.436 45.50262,-76.70517 45.65369,-76.95786 45.78552,-77.21603 45.91461,-77.27371 46.03271,-77.71317 46.22772,-78.02902 46.2442,-78.30093 46.25793,-78.82862 46.43166,-78.91857 46.48247,-78.98981 46.54736,-78.9953 46.5834,-79.01968 46.63593,-79.0801 46.67645,-79.17383 46.82442,-79.21228 46.83163,-79.23803 46.86047,-79.31803 46.94183,-79.35991 47.01805,-79.4363 47.08946,-79.43012 47.23915,-79.49432 47.31812,-79.68933 51.02051,-80.07385 51.48193,-82.09534 53.03101,-81.4856 55.10742,-89.09363 57.03003,-95.13748 50.625,-95.15121 49.38629))", "TaxonKey is Lithobates sylvaticus (LeConte, 1825)", "Year 2018-2021" ] } The dataset includes 1628 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064833-210914110416597/datasets/export for details. Data from some individual datasets included in this download may be licensed under less restrictive terms.
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 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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.289 | 0.446 |
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".