Bibliographic record
Abstract
The editors and Karger Publishers would like to thank the following reviewers for their ongoing support in reviewing manuscripts for European Addiction Research:Zeinab A. Abbas, Harîssa, LebanonHarmen Beurmanjer, Vught, The NetherlandsGallus Bischof, Luebeck, GermanyPeter Bond, Zeist, The NetherlandsSacha Bragg, London, ON, CanadaJulie Brummer, Aarhus, DenmarkTibor Markus Brunt, Amsterdam, The NetherlandsFatima Bukair, London, ON, CanadaAlice Chavanne, Nijmegen, The NetherlandsFelicia Chi, Oakland, CA, USAVirgile Clergue-Duval, Paris, FranceAnthony Coetzer-Liversage, Kingston, RI, USAOrenella Corazza, Hatfield, UKLaura Corbit, Toronto, ON, CanadaRenata Cupertino, La Jolla, CA, USAShane Darke, Sydney, NSW, AustraliaPaul Delfabbro, Adelaide, SA, AustraliaZsolt Demetrovics, Budapest, HungaryJeffrey Lee Derevensky, Montreal, QC, CanadaFiona Dobbie, Edinburgh, UKGeert Dom, Antwerpen, BelgiumAnne Doyle, Dublin, UKAkon Ekpezu, Oulu, FinlandDaniel Demetrio Faustino-Silva, Porto Alegre, BrazilLouis Favril, Ghent, BelgiumNathan Field, Charlottesville, VA, USANicolas Franchitto, Toulouse, FranceZoe Friedmann, Berlin, GermanyUlrich Frischknecht, Cologne, GermanyAlexander Glahn, Hannover, GermanyAhmet Gurakar, Baltimore, MD, USAFateme Nateghi Haredasht, Stanford, VA, USAAndreas Heinz, Tübingen, GermanyChristian Hendershot, Los Angeles, CA, USALaura Hertner, Berlin, GermanyMorten Hesse, Aarhus, DenmarkThomas Hillemacher, Nuremberg, GermanyPeter Huggard, Aukland, New ZealandJanet Hoenicka, Barcelona, SpainDagny Johannessen, Oslo, NorwayŽeljko Jovanović, Rijeka, CroatiaLaurent Karila, Villejuif, FranceDheeraj Kattula, New Delhi, IndiaJared W. Keeley, Richmond, VA, USASteph Kershaw, Sydney, NSW, AustraliaJason Kilmer, Seattle, WA, USABruno Kluwe-Schiavon, Houston, TX, USAChristelle Langley, Cambridge, UKTsen Vei Lim, Cambridge, UKMiranda C. Lutz-Landesbergen, Rotterdam, The NetherlandsMyles Maillet, Victoria, BC, CanadaKarl Mann, Mannheim, GermanyLisa J. Merlo, Gainesville, FL, USAIngo Ilja Michels, Nuremberg, GermanyLlewellyn Mills, Sydney, NSW, AustraliaChristian P. Müller, Erlangen, GermanyBarnaby N. Zoob Carter, Birmingham, UKPhillip Newall, Bristol, UKClaire Newman, Sydney, NSW, AustraliaFredrik Nystrom, Linköping, SwedenPaola Palombo, São Paulo, BrazilRaimondo Maria Pavarin, Bologna, ItalyDaniel Henrique Pereira, Cambridge, MA, USAAmanda Perri, London, ON, CanadaKatie Peterson, Colchester, UKOliver Pogarell, Munich, GermanyHannah Louise Poulter, Middlesbrough, UKLydia Rader, Boulder, CO, USAJessica Reimann, Guelph, ON, CanadaTrevor William Robbins, Cambridge, UKGuyonne Rogier, Rome, ItalyBenjamin Rolland, Lyon, FranceJohn B. Saunders, Brisbane, QLD, AustraliaMorgan Scarth, Oslo, NorwayIngo Schäfer, Hamburg, GermanyJacob Scharer, Syracuse, NY, USAYanyan Shan, Durham, NC, USAJoão Pedro Silva, Porto, PortugalMartine Skumlien, London, UKEerik Soares Ruokosuo, Helsinki, FinlandEleasa Sokolski, Portland, OR, USABundit Sornpaisarn, Toronto, ON, CanadaAnke Stallwitz, Freiburg, GermanyLarissa Steimle, Frankfurt, GermanyJustin Strickland, Baltimore, MD, USACarol Strike, Toronto, ON, CanadaParida Suprit, New Haven, CT, USAPedro Juan Tarraga Lopez, Albacete, SpainJohannes Thrul, Baltimore, MD, USAPatrick Trotzke, Cologne, GermanyKarly Turner, Sydney, NSW, AustraliaDevin Marie Ulrich, Chicago, IL, USALotte Vallentin-Holbech, Århus, DenmarkJan van Amsterdam, Amsterdam, The NetherlandsYouna Vandaele, Poitiers, FranceJohn-Kåre Vederhus, Kristiansand, NorwayMarc Vogel, Basel, SwitzerlandRobert Ware, Nathan, QLD, AustraliaPoppy Watson, Sydney, NSW, AustraliaYihe Weng, New Haven, CT, USAGerald Scott Winder, Detroit, MI, USABabette Winter, Zurich, SwitzerlandJoost Wiskerke, Linkoping, SwedenLisa Wynn, Sydney, NSW, AustraliaLeon Xiao, Bristol, UK
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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 | 0.026 | 0.266 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.009 | 0.005 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.020 | 0.012 |
| Open science | 0.006 | 0.009 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.299 | 0.199 |
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".