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Record W4247447250 · doi:10.21203/rs.2.12937/v1

Assessing physical activity in people with mental illness: 23-country reliability and validity of the Simple Physical Activity Questionnaire (SIMPAQ)

2019· preprint· en· W4247447250 on OpenAlexaff
Simon Rosenbaum, Rachel Morell, Amal Abdel‐Baki, Mohammad Ahmadpanah, Thekkethayyil Viswananthan Anilkumar, Lara Baie, Adrian Bauman, Stefan Bender, Justin Boyan Han, Serge Brand, Solfrid Bratland‐Sanda, Javier Bueno‐Antequera, Andréa Camaz Deslandes, Lara Carneiro, Attilio Carraro, Carmen Paz Castañeda, Fernanda Castro Monteiro, Justin Chapman, Josephine Y. Chau, Li‐Jung Chen, Barbara Chvatalova, Lydia Chwastiak, Giogio Corretti, Maurice Dillon, Stephan Egger, Fiona Gaughran, Markus Gerber, Erica Gobbi, Kirrily Gould, Martin Hatzinger, Edith Holsboer-Tracksler, Zara Hoodbhoy, Christian Imboden, Pillaveetil Sathyadas Indu, Romaina Iqbal, Fabianna Resende de Jesus‐Moraleida, Shinsuke Kondō, Po‐Wen Ku, Oscar Lederman, Edwin Lee, Berend Malchow, Evan Matthews, P. Mazur, Anna Meneghelli, Ayesha Mian, Bente Morseth, Diego Munguía‐Izquierdo, Lene Nyboe, Brian O’Donoghue, Amy Perram, Justin Richards, Ahmed Jérôme Romain, Madeline Romaniuk, Dena Sadeghi Bahmani, Mariella Sarno, Felipe Barreto Schuch, Nina Schweinfurth, Brendon Stubbs, Richard Uwakwe, Tine Van Damme, Elisabeth van der Stouwe, Davy Vancampfort, Stefan Vetter, Anna Waterreus, Philip B. Ward

Bibliographic record

VenueResearch Square · 2019
Typepreprint
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsCentre Hospitalier de l’Université de Montréal
FundersNational Health and Medical Research CouncilNIHR Collaboration for Leadership in Applied Health Research and Care South LondonKing's College LondonNational Institute for Health and Care ResearchMaudsley CharityKing's College Hospital NHS Foundation TrustDepartment of Health and Social CareSouth London and Maudsley NHS Foundation Trust
KeywordsReliability (semiconductor)Simple (philosophy)Mental illnessPhysical activityPsychologyValidityMeasure (data warehouse)Applied psychologyClinical psychologyPsychiatryGerontologyMental healthMedicinePsychometricsComputer sciencePhysical therapy

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.080
GPT teacher head0.448
Teacher spread0.368 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations3
Published2019
Admission routes1
Has abstractno

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