Bibliographic record
Abstract
The editors and Karger Publishers would like to thank the following reviewers for their ongoing support in reviewing manuscripts for Neuroendocrinology:Taymeyah Al-Toubah, Tampa, USASylvia L. Asa, Cleveland, OH, USAVanessa Athaide, Montevideo, UruguayErcan Babur, Kayseri, TurkeyMarcelo Balancin, Sao Paulo, BrazilSoledad Bárez-López, Madrid, SpainClaire Barker, Leeds, UKNehara Begum, Minden, GermanyNicholas T. Bello, New Brunswick, NJ, USARakesh Bhaskar, Gyeongsan, Republic of KoreaWojciech Bik, Warsaw, PolandEric L. Bittman, Amherst, MA, USAMichael Buchfelder, Erlangen, GermanyAlexander S. Busch, Münster, GermanyYlenia Capodanno, Heidelberg, GermanyAlexandre Caron, Quebec City, ChinaPelin Cengiz, Madison, WI, USASemra Çağlar, Çetinkaya, Ankara, TurkeyJennifer Chan, Boston, MA, USAYue Chen, Luzhou, ChinaGeorge P. Chrousos, Athens, GreeceJaroslaw B. Cwikla, Olsztyn, PolandAdrian F. Daly, Liege, BelgiumKosmas Daskalakis, Örebro, SwedenJean De Schepper, Brussels, BelgiumCaroline Decourt, Dunedin, New ZealandDerk-Jan Dijk, Guildford, UKKresimir Dolic, Split, CroatiaJose Donato Jr., Sao Paulo, BrazilKhalid El Saafien, Shreveport, LA, USAMona Elshafie, Birmingham, UKPablo Jose, Enriori, Canberra, ACT, AustraliaAntongiulio Faggiano, Rome, ItalyFang Fang, Shanghai, ChinaTullio Florio, Genova, ItalyAnita Franczak, Olsztyn, PolandMônica Gadelha, Rio de Janeiro, BrazilRaul S. Gonzalez, Atlanta, GA, USADaniel M. Halperin, Houston, TX, USAHitoshi Hashimoto, Osaka, JapanKenji Hashimoto, Chiba, JapanSusumu Hijioka, Tokyo, JapanTakeshi Hiyama, Tottori, JapanNatasa Hlavacova, Bratislava, SlovakiaJouji Horiuchi, Asaka, JapanJiale Hou, Changsha, ChinaYuyi Huang, Taipei, TaiwanFrediano Inzani, Pavia, ItalyKarl Iremonger, Dunedin, New ZealandYuichi Ishikawa, Tokyo, JapanAndrea M., Isidori, Rome, ItalyFaizul Jaafar, Kuala Lumpur, MalaysiaRobert T. Jensen, Bethesda, MD, USAZong Jiang, Guishou, ChinaPaula Jimenez Fonseca, Oviedo, SpainPeter Kamenicky, Le Kremlin-Bicêtre, FranceMehmet Kantar, Izmir, TurkeyMasahito Kawazu, Chiba, JapanFahrettin Kelestimur, Istanbul, TurkeyHaluk Kelestimur, Istanbul, TurkeyMohid S. Khan, Cardiff, UKReza Kianmanesh, Reims, FranceAnn-Christin Kimmig, Tübingen, GermanyJennifer King, Manchester, UKElif Kılıç Kan, Samsun, TurkeyLibby Kosnik Infinger, Charleston, SC, USAWendy Koss, West Lafayette, IN, USALance J. Kriegsfeld, Berkeley, CA, USAAnna La Salvia, Rome, ItalyAlice Laffi, Bergamo, ItalySara Lakehayli, Casablanca, MoroccoAndrea G. Lania, Rozzano, ItalyPhillip Lee, Austin, TX, USAYing-Juan Liu, Nanyang, Henan Provi, ChinaChiara Liverani, Meldola, ItalyJose A. Lopez-Escamez, Sydney, NSW, AustraliaDavid Lopez-Rodriguez, Lausanne, SwitzerlandYazmin Macotela, Juriquilla, MexicoYuko Maejima, Fukushima, JapanStephen M. Manchishi, Cambridge, UKRenata Marchette, Baltimore, MD, USASara Massironi, Milan, ItalyToshihiko Masui, Kyoto, JapanChloë May, Bebington, UKShilpa Mehta, Valhalla, NY, USAAdalberto Merighi, Grugliasco, ItalyMassimo Milione, Milan, ItalyMarie-Pierre Moisan, Bordeaux, FranceMark Molitch, Chicago, IL, USAJorge Humberto Mukdsi, Cordoba, ArgentinaAlia Munir, Sheffield, UKHarald Murck, Marburg, GermanyRyosuke Muroyama, Mibu, JapanCasey Nestor, Fort Collins, CO, USAMayumi Nishi, Nara, JapanTakao Ohtsuka, Kagoshima, JapanIwona Olejniczak, Lübeck, GermanyBernice Omotosho, Los Angeles, CA, USAHitoshi Ozawa, Tokyo, JapanNikolaos Papanas, Athens, GreeceAndreas Pascher, Münster, GermanySergio Pedraza-Arevalo, Cordoba, SpainNatalia S. Pellegata, Pavia, ItalyChun Peng, Toronto, ON, CanadaRichard Piet, Kent, OH, USALeah M. Pyter, Columbus, OH, USAMark Radon, Liverpool, UKNicholas Reed, Glasgow, UKJulie Refardt, Basel, SwitzerlandAlexander Reichenbach, Melbourne, VIC, AustraliaMaria Rosaria, Rizzo, Naples, ItalySusana Isabel Sa, Porto, PortugalArif Kamil Salihoglu, Trabzon, TurkeyWillis K. Samson, St. Louis, MO, USAWinkins Santosh, Kattankulathur, IndiaMotoyasu Satou, Mibu, JapanAldo Scarpa, Verona, ItalyMarkus Schwaninger, Lubeck, GermanySwapnil Shewale, Mumbai, IndiaIlan Shimon, Petach-Tikva, IsraelQing Shu, Wuhan, ChinaAndrzej T. Slominski, Birmingham, AL, USAMarcello Solinas, Poitiers, FranceKiran K. Soma, Vancouver, BC, CanadaMohamad Bassam, Sonbol, Phoenix, AZ, USAErnesto Sosa-Eroza, Mexico City, MexicoAngela Maria, Spinola-Castro, Sao Paulo, BrazilPeter Stalberg, Uppsala, SwedenCharikleia Stefanaki, Athens, GreeceMariko Sugiyama, Igura, JapanEi Terasawa, Madison, WI, USAShiro Tochitani, Suzuka, JapanGeorge Tokas, Alexandroupolis, GreeceTakayoshi Ubuka, Tokyo, JapanAhmet Uçar, Istanbul, TurkeyMonique Vallée, Bordeaux, FranceNandini Vasudevan, Reading, UKChris Verslype, Leuven, BelgiumFabrice Viol, Hamburg, GermanyGiovanni Vitale, Milan, ItalyAlicia Ann, Walf, Troy, MI, USAJunhui Wang, Toronto, ON, CanadaBenjamin Whitelaw, London, UKSusan Wray, Bethesda, MD, USAZhe Bao Wu, Shanghai, ChinaFan Wu, Shandong, ChinaAkane Yamamoto, Kyoto, JapanYun Yan, Kansas City, MO, USAJinxia Zhu, Beijing, China
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 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 | 0.020 | 0.202 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.004 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.018 | 0.011 |
| Open science | 0.005 | 0.008 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.289 | 0.203 |
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".