Bibliographic record
VenueAmerican Journal of Obstetrics and Gynecology · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicLegal case studies and regulations
Canadian institutionsnot available
FundersUniversity of Colorado School of Medicine, Anschutz Medical CampusSchool of Medicine, University of North Carolina at Chapel HillCollege of Medicine, Seoul National UniversityDepartment of Obstetrics, Gynecology and Reproductive Sciences, University of PittsburghRoy J. and Lucille A. Carver College of Medicine, University of IowaCollege of Medicine, University of CincinnatiUniversity of ConnecticutMorsani College of MedicineOulun YliopistoUniversity of California, IrvineIntermountain HealthcareUniversitetet i TromsøUniversity of California, San FranciscoUniversity of Texas Health Science Center at San AntonioPerelman School of Medicine, University of PennsylvaniaUniversity of Oklahoma Health Sciences CenterUniversity of North Carolina at Chapel HillUniversity of California, DavisUniversity of Colorado BoulderHealth Science Center, University of TennesseeSchool of Medicine, University of KansasKarolinska InstitutetUniversity of Illinois at Urbana-ChampaignMedical Center, University of PittsburghMedical Research CouncilSickkids Research InstituteUniversity of Health and Allied SciencesSchool of Medicine, University of California, IrvineMuhimbili University of Health and Allied SciencesVlaamse regeringMilitary Health SystemUniversity of PittsburghUniversity of BernIowa State UniversityMedical Center, University of RochesterIWK Health CentreRobert Wood Johnson Medical School, Rutgers, The State University of New JerseySchool of Medicine and Public Health, University of Wisconsin-MadisonUniversità degli Studi di BresciaHôpitaux Universitaires de GenèveRadboud Universitair Medisch CentrumJewish General HospitalHospital for Sick ChildrenUniversité de StrasbourgHebrew University of JerusalemCollege of Engineering, Michigan State UniversityDalhousie UniversitySungkyunkwan UniversitySeoul National UniversityInstitut National de la Santé et de la Recherche MédicaleUniversity of RochesterUniversity of LimerickUniversity of WashingtonUniversità degli Studi di PerugiaRijksuniversiteit GroningenBen-Gurion University of the NegevUniversity of LeicesterUniversity of TorontoShiraz UniversityImperial College LondonKaiser PermanenteUniversity of AlbertaSeoul National University Bundang HospitalSaint Louis UniversityUniversità Degli Studi di Modena e Reggio EmilaHuntsman Cancer InstituteJoslin Diabetes CenterUniversity of OxfordUniversity of South FloridaUniversity College DublinMcGill UniversityUniversitair Medisch Centrum GroningenMichigan State UniversityThomas Jefferson UniversityUniversité LavalUniversity of California, San DiegoUniversity of CincinnatiSchool of Medicine, Indiana UniversityUniversity of UtahTel Aviv UniversitySt. Antonius ZiekenhuisUniversità degli Studi di FirenzeUniversità degli Studi di MilanoSeoul Metropolitan Government Seoul National University Boramae Medical CenterJohns Hopkins UniversitySeattle Children's Research InstituteSamsungUniversity of Colorado DenverUniversity of Southern CaliforniaUniversity of OklahomaUniversidade de São PauloSociety For Maternal-Fetal MedicineChildren's Hospital of PhiladelphiaUniversity of MiamiUniversità degli Studi di Milano-BicoccaUniversity of MissouriItä-Suomen YliopistoUniversity of PennsylvaniaGillings School of Public HealthDepartment of Obstetrics and Gynecology, University of Wisconsin-MadisonRadboud UniversiteitRush UniversityUniversité de MontréalOhio State UniversityUniversity of HaifaUniversité de Sherbrooke
KeywordsMedicineIndex (typography)World Wide Web
Abstract
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 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.
metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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: Other · Consensus signal: Other
Teacher disagreement score0.181
Threshold uncertainty score0.258
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.018 | 0.021 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.819 | 0.697 |
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 head0.011
GPT teacher head0.269
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation status
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
Study designNot applicable
Domainnot available
GenreOther
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
Published2013
Admission routes1
Has abstractno