Bibliographic record
Abstract
Le comité éditorial des Annales Africaines de Médecine tient à remercier les lecteurs qui ont analysé les manuscrits soumis pour publication au cours de l’année 2024 et ont ainsi donc participé activement au succès de la revue. La liste pourrait ne pas être exhaustive, la rédaction présente ses excuses pour l’oubli fortuit et involontaire N° Noms & Postnoms Reviewer Country/Région 1 Albini, Hugues Congo, The Democratic Republic of the 2 Babakazo, Pelagie Congo, The Democratic Republic of the 3 Bahinzi, Lionel Congo, The Democratic Republic of the 4 Bakebe, Alain Congo, The Democratic Republic of the 5 Bangolo, Ayrton United States 6 Bayauli, Pascal Congo, The Democratic Republic of the 7 Bepouka, Ben Congo, The Democratic Republic of the 8 Bisuta, Serge Congo, The Democratic Republic of the 9 Buhendwa, Augustin Congo, The Democratic Republic of the 10 Buila, Nathan Congo, The Democratic Republic of the 11 Bukabau, Justine Congo, The Democratic Republic of the 12 Bukasa, John Belgium 13 Bula Bula, Medard Congo, The Democratic Republic of the 14 Chabo, Alain Congo, The Democratic Republic of the 15 Diangienda, Pablo Congo, The Democratic Republic of the 16 Diasonama, Jean François Congo, The Democratic Republic of the 17 Ekulu, Pepe Congo, The Democratic Republic of the 18 Engole, Yannick Congo, The Democratic Republic of the 19 Ernesttho-Ghoud, Indretsy Madagascar 20 Fwelo, Pierre Congo, The Democratic Republic of the 21 Kingebeni, Guy Congo, The Democratic Republic of the 22 Ilunga Ilunga, Félicien Congo, The Democratic Republic of the 23 Kaba, Didine Congo, The Democratic Republic of the 24 Kabamba, Leon Congo, The Democratic Republic of the 25 M’buyamba-Kabangu, Jean René Congo, The Democratic Republic of the 26 Kabengele, Benoit Congo, The Democratic Republic of the 27 Kadima, Evariste Congo, The Democratic Republic of the 28 Kahindo, Kahindo Congo, The Democratic Republic of the 29 Kalenga, Masendu Congo, The Democratic Republic of the 30 Kamanga, Muamba Congo, The Democratic Republic of the 31 Kaputu, Célestin Congo, The Democratic Republic of the 32 Kashongwe, Innocent Congo, The Democratic Republic of the 33 Kasongo, Moïse Congo, The Democratic Republic of the 34 Katchunga, Philippe Congo, The Democratic Republic of the 35 Kayembe Ntumba, Harry Congo, The Democratic Republic of the 36 Kengibe, Pitshou Congo, The Democratic Republic of the 37 Kianu, Bernard Congo, The Democratic Republic of the 38 Kisile, Olive Congo, The Democratic Republic of the 39 Lebughe, Pierrot Congo, The Democratic Republic of the 40 Longokolo, Murielle Congo, The Democratic Republic of the 41 Loposso Nkumu, Matthieu Congo, The Democratic Republic of the 42 Louka, Kattie Côte d'Ivoire 43 Lubenga, Yves Congo, The Democratic Republic of the 44 Lutumba, Pascal Congo, The Democratic Republic of the 45 Mafuta, Danny Congo, The Democratic Republic of the 46 Mafuta, Eric Congo, The Democratic Republic of the 47 Maindo, Patience Congo, The Democratic Republic of the 48 Makanzu, Brady Congo, The Democratic Republic of the 49 Makembi Bunkete, Arriel Congo, The Democratic Republic of the 50 Maketa, Vivi Congo, The Democratic Republic of the 51 Mandina, Madone France 52 MAntshumba, Augustin Congo, The Democratic Republic of the 53 Mata, Daddy Canada 54 Matanda, Richard Congo, The Democratic Republic of the 55 Matonda Ma Nzuzi, Thierry Congo, The Democratic Republic of the 56 Matulonga, Bobette France 57 Mbendi, Charles Congo, The Democratic Republic of the 58 Mbula, Marcel Congo, The Democratic Republic of the 59 Mbunga, Branly Congo, The Democratic Republic of the 60 Mokoli, Vieux Congo, The Democratic Republic of the 61 Molua, Antoine Congo, The Democratic Republic of the 62 Mpembi, Magloire Congo, The Democratic Republic of the 63 Mpwate, Mireille Congo, The Democratic Republic of the 64 Mubenga, Léon Congo, The Democratic Republic of the 65 Mudogo, Célestin Congo, The Democratic Republic of the 66 Mukadi-Bamuleka, Daniel Congo, The Democratic Republic of the 67 Mukaya, Jean Congo, The Democratic Republic of the 68 Mumba, Dieudonne Congo, The Democratic Republic of the 69 Musasa, Céleste Congo, The Democratic Republic of the 70 Muyer, Marie Clair Congo, The Democratic Republic of the 71 Mwanza, Jean-Claude United States 72 Ngabana, Edith Congo, The Democratic Republic of the 73 Nlandu, Yannick Congo, The Democratic Republic of the 74 Nsakala, Gaby Congo, The Democratic Republic of the 75 Nsibu, Celestin Congo, The Democratic Republic of the 76 Ntima Nsiemi, Kimbembi Congo, The Democratic Republic of the 77 Ntsambi, Glennie Congo, The Democratic Republic of the 78 Nyembue, Dieudonne Congo, The Democratic Republic of the 79 Nzana, Victorine Cameroon 80 Nzau-Ngoma, emmanuel Congo, The Democratic Republic of the 81 Nzomvuama, alphonse Congo, The Democratic Republic of the 82 Okitundu Luwa E-Andjafono, Daniel Congo, The Democratic Republic of the 83 Panda Kitronza, Jean Paul Congo, The Democratic Republic of the 84 Seudjip, Nono Lydie Joelle Congo, The Democratic Republic of the 85 Sokolo, Jérôme Congo, The Democratic Republic of the 86 Songo Baukaka, Florent Congo, The Democratic Republic of the 87 Tchaou, Mazamaesso Togo 88 Wumba, Roger France Comité éditorial Annales Africaines de Médecine
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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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.388 | 0.272 |
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".