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Record W2281016040 · doi:10.15200/winn.145623.30393

Science AMA Series: We recently published a manuscript that showed modern humans had sex with Neandertals approximately 100,000 years ago, which is ~50,000 years earlier than previously known human/Nea

2016· dataset· en· W2281016040 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Winnower · 2016
Typedataset
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsSeries (stratigraphy)HistoryEvolutionary biologyBiologyGenealogyGeographyPaleontology

Abstract

fetched live from OpenAlex

Hi Reddit! The publication can be found here: http://www.nature.com/nature/journal/vaop/ncurrent/full/nature16544.html. Who we are: Co-authors Martin Kuhlwilm, Bence Viola, Ilan Gronau, Melissa Hubisz, Adam Siepel, and Sergi Castellano. Martin Kuhlwilm is a geneticist, currently working at the UPF in Barcelona and previously at the Max Planck Institute in Leipzig. He studies modern human, Neandertal and great ape genomes, to understand what is special for each group and which evolutionary patterns can be found. He also studies migration patterns among hominin groups and great ape populations. Bence Viola is a paleoanthropologist at the University of Toronto. His main interest is how different hominin groups interacted biologically and culturally in the Upper Pleistocene (the last 200 000 years). He combines data from archaeology, morphology and genetics to better understand how the contacts between Neanderthals, Denisovans and modern humans happened. He mostly works in Central Asia and Central Europe, two areas where contacts between modern and archaic humans are thought to have taken place. Sergi Castellano, from the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany, focuses on understanding the role of essential micronutrients, with particular emphasis on selenium, in the adaptation of human metabolism to the different environments encountered by archaic and modern humans as they migrated around the world. His group is also interested in the population history of these humans as it relates to their interbreeding and exchange of genes that facilitate adaptation to new environments. Melissa, Ilan, and Adam used to work together in the Siepel lab at Cornell University, and continue to work together from a distance. Currently, Ilan is a faculty member in Computer Science at the Interdisciplinary Center in Herzliya, Israel. Adam is a professor at the Simons Center for Quantitative Biology at the Cold Spring Harbor Laboratory on Long Island, New York. Melissa is a graduate student in Computational Biology at Cornell. They are especially interested in applying probabilistic models to genomic data to learn about human evolution and population genetics. Ask us anything! (Except whether “Neanderthal” should be spelled with an ‘h’.. we don’t know!) Update: Thanks everyone for having us! Hope we were able to answer some of your questions. We’re signing off now!

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.391
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0070.001
Scholarly communication0.0000.001
Open science0.0030.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.002

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 head0.052
GPT teacher head0.333
Teacher spread0.282 · 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