MétaCan
Menu
Back to cohort
Record W2762086227 · doi:10.1186/s40345-017-0082-8

Erratum to: Online information seeking by patients with bipolar disorder: results from an international multisite survey

2017· erratum· en· W2762086227 on OpenAlexaff
Jörn Conell, Rita Bauer, Tasha Glenn, Martin Alda, Raffaella Ardau, Bernhard T. Baune, Michael Berk, Yuly Bersudsky, Amy C. Bilderbeck, Alberto Bocchetta, Letizia Bossini, Angela Marianne Paredes Castro, Eric Yat Wo Cheung, Caterina Chillotti, Sabine Choppin, Maria Del Zompo, Rodrigo da Silva Dias, Seetal Dodd, Anne Duffy, Bruno Étain, Andrea Fagiolini, Julie Garnham, John Geddes, Jonas Gildebro, Ana González‐Pinto, Guy M. Goodwin, Paul Grof, Hirohiko Harima, Stefanie Hassel, Chantal Henry, Diego Hidalgo‐Mazzei, Vaisnvy Kapur, Girish Kunigiri, Beny Lafer, Chun Bun Lam, Erik Roj Larsen, Ute Lewitzka, Rasmus Wentzer Licht, Anne Hvenegaard Lund, Błażej Misiak, Patryk Piotrowski, Scott Monteith, Rodrigo Muñoz, Takako Nakanotani, René Ernst Nielsen, Claire O’Donovan, Y Okamura, Yamima Osher, Andreas Reif, Philipp Ritter, Janusz Rybakowski, Kemal Sagduyu, Brett Sawchuk, Elon Schwartz, Ângela Miranda Scippa, Claire Slaney, Ahmad Hatim Sulaiman, Kirsi Suominen, Aleksandra Suwalska, Peter Tam, Yoshitaka Tatebayashi, Leonardo Tondo, Eduard Vieta, Maj Vinberg, Biju Viswanath, Julia Volkert, Mark Zetin, Peter C. Whybrow, Michael Bauer

Bibliographic record

VenueInternational Journal of Bipolar Disorders · 2017
Typeerratum
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsCentre for Movement DisordersUniversity of TorontoUniversity of CalgaryDalhousie University
FundersNational Institute for Health and Care Research
KeywordsNeurologyPsychologyBipolar disorderPsychiatryPsychopharmacologyClinical psychologyMedicinePsychotherapistCognition

Abstract

fetched live from OpenAlex

Erratum to: online information seeking by patients with bipolar disorder: results from an international multisite survey

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 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)0.003
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.408
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.010
Open science0.0030.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.388
Teacher spread0.366 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreDataset

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

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Bipolar DisordersSame topicHealth Literacy and Information AccessibilityFrench-language works237,207