'When is enough, enough?' Methods for optimising, evaluating, and prioritising of marine data collection (co-sponsored by PICES)
Notice bibliographique
Résumé
No abstracts are to be cited without prior reference to the author.Conveners: J.H. Vølstad (Norway), Mike Armstrong (UK), Marie Storr-Paulsen (Denmark), Robyn Forrest (Canada).CM 2016/O:407. Alternative sample designs for the deployment of observers in the North Pacific. Craig H. FaunceCM 2016/O:69. Best-practice for long-term observations of total suspended particulate matter in coastal marine environments. Rolf Riethmüller, Michael Fettweis, Romaric VerneyCM 2016/O:564. Beyond cod and haddock: challenges for optimizing bottom trawl surveys for ecosystem monitoring. V. Trenkel, L. Pawlowski, M. RobertCM 2016/O:229. Calculating the economic benefits from the fisheries research surveys from indirect methodologies. Raúl PrellezoCM 2016/O:136. Can less be more? Effects of reduced frequency of surveys and stock assessments.Fabian Zimmermann, Katja EnbergCM 2016/O:519. Custom-tailored or fit for multi-purpose? Options for (re)designing North Sea fisheries surveys. Anne Sell, Julia Wischnewski, Holger Haslob, Francisco Marco-RiusCM 2016/O:521. Data quality in fisheries science. Laurent Dubroca, Norbert Billet, Joel Vigneau, Alice Vastel, Nicolas Goascoz, Anne-Sophie Cornou, Sébastien Démanèche, Jérome Weiss, Mathieu Merzereaud, Alastair Pout, Liz Clark, Mike Armstrong, Chun Chen, Kelig Mahe, Maria Hansson, Ana Ribeiro Santos, Eva Velasco, Christoph StranskyCM 2016/O:198. Definition of sampling priorities using Global Sensitivity Analysis and Management Strategy Evaluation. Dorleta Garcia, Raúl PrellezoCM 2016/O:166. Effect of shortening haul durations on a survey’s species richness estimates. M. Moriarty, A.F. Sell, V. M. Trenkel, Y. Vérin, S.P.R. GreenstreetCM 2016/O:511. Evaluating bias in an observer and self-sampling discard programme. Chun Chen, Ruben Verkempynck, Edwin van Helmond, Sebastian Uhlmann, Karin van der ReijdenCM 2016/O:263. Evaluating regional designs for the on-shore sampling of North Sea demersal fisheries. Alastair Pout, Liz Clarke, Ana Ribeiro Santos, Jon Elson, Patrik Börjesson, Mary Christman, Kirsten Birch Håkansson, Marie Storr-PaulsenCM 2016/O:238. Evaluation of sampling designs for data-limited populations of Pacific salmon in Canada. Carrie A. HoltCM 2016/O:117. Geostatistical index standardization improves the performance of stock assessment model: an application to northern shrimp in the Gulf of Maine. Jie Cao, James T. Thorson, R. Anne Richards, Yong ChenCM 2016/O:265. How do surveys’ variances affect the assessment and management of the Bay of Biscay anchovy?. Andres Uriarte, Sonia Sanchez, Leire IbaibarriagaCM 2016/O:148. How does minimum sampling size relate to statistical power in stomach content analysis?. L. Lopez‐Lopez, I. PreciadoCM 2016/O:177. Identification of optimal sub-sampling approach for video trawl survey analysis. Travis M. LoweryCM 2016/O:100. Impact of splitting decisions on reported aggregated catch of two sympatric redfish (Sebastes spp) species on stock status and harvest advice. Daniel E DupliseaCM 2016/O:228. Improving the analytical assessment of fish stocks by providing parameters of data quality via InterCatch. Jose Castro, Laurent Dubroca, Jose Rodriguez, Eva Velasco, Paz SampedroCM 2016/O:353. Inferring the annual, seasonal and spatial distributions of marine species from combined research and commercial vessels’ catch rates. Pierre Bourdaud, Morgane Travers-Trolet, Youen Vermard, Xochitl Cormon, Paul MarchalCM 2016/O:127. Little data, big impact: using simple data protocols to achieve real-time management goals. B.L. Wright, C.E. O’Keefe, S.X. CadrinCM 2016/O:170. Modeling length distribution by commercial size category to estimate species catch length composition for stock assessment. M. Azevedo, C. Silva, J.H. VølstadCM 2016/O:583. Optimising sampling intensity though observation, not simulation: An example from an at-sea, demersal fishery sampling programme. Pieter-Jan Schön, Mathieu G LundyCM 2016/O:106. Optimizing data collection processes for industry collected gear selectivity data. Tiago Malta, Jordan Feekings, Bent Herrmann, Ludvig Ahm KragCM 2016/O:235. Optimizing otoliths sampling design in fishery-independent surveys for stock assessments. Gwladys Lambert, Thomas Hesler, Pete Hulson, Anne HollowedCM 2016/O:430. Performance of alternative assessment methods for Pacific Cod (Gadus macrocephalus) in British Columbia: a difficult-to-age species with highly uncertain productivity. Robyn E. Forrest CM 2016/O:569. Presenting the MarinEye project –Development and validation of a prototype for multitrophic oceanic monitoring. Cátia Bartilotti, Antonina dos Santos, Raquel Marques, Alexandra Silva, Catarina Churro, Sónia Cotrim, Hugo Ribeiro, Ana Paula Mucha, Maria de Fátima Carvalho, C. Marisa R. Almeida, Isabel Azevedo, Sandra Ramos, Teresa Borges, Sérgio Leandro, André Dias, Eduardo Silva, Hugo Ferreira, Ireneu Dias, José Miguel Almeida, Luís Torgo, Nuno Dias, Pedro Jorge, Alfredo Martins, Catarina MagalhãesCM 2016/O:612. ptyx : data compilation at the edge of automation. Laurent Dubroca, Joel Vigneau, Anne-Sophie Cornou, Sébastien Démanèche, Jérome Weiss, Mathieu Merzereaud, Youen Vermard, Marie Savina-Rolland, Ching-Maria Villanuova, Ivan Shlaich, Lionel Pawlowski, Marianne Robert, Muriel Lissardy, Gilles Morandeau, Mickael Drogou, Spyros Fifas, Hélène Gadenne, Pascal Lorance, Claire Saraux, Tristan Rouyer, Florence GontrandCM 2016/O:491. Quantifying optimal sampling effort for estimating recruit abundance for juvenile anadromous alewife. Matthew T. Devine, Allison H. Roy, Andrew R. Whiteley, Adrian JordaanCM 2016/O:REDUS - an integrated approach to quantifying and communicating uncertainty in stock assessment and management advice. Erik Olsen, Jon Helge Vølstad, Knut Korsbrekke, Espen Johnsen, Nils Olav Handegard, Gulborg Søvik, Daniel Howell, Cecilie HansenCM 2016/O:142. Statistical analysis of the sampling design: FishPi case study on the biological sampling of the European hake fishery. Jose Castro, Nuno Prista, Lucia Zarauz, Jose Rodriguez, Manuela Azevedo, Laurent Dubroca, Alastair Pout, Joao Pereira, Chun Chen, Hans Gerritsen, Jon Elson, Ana Ribeiro, Patrik Börjesson, Kirsten Birch Håkansson, Sofie NimmegeersCM 2016/O:145. Strategic use of uncertainty: Regional comparison of fisheries cooperation in the North Pacific and Northeast Atlantic. Robert Blasiak, Jessica SpijkersCM 2016/O:440. Technological tools for optimising data collection and management. Inês Farias, Aida Campos, Artur Rocha, Gabriel David, Guida Camacho, João Castro, Miriam Tuaty Guerra, Ricardo Amorim, Victor Henriques, Antonina dos SantosCM 2016/O:206.The end of reporting deadlines? Optimising dataflow by harvesting – a case study using open source REST-server technology from SMHI in corporation with ICES. Patrik StrömbergCM 2016/O:435. Using simulation to assess the effects of various sampling schemes on estimates of population characteristics of fish from bottom-trawl surveys. Paul M. Regular, Fran MowbrayCM 2016/O:611. When is necessary, already available?. Joel Vigneau, Laurent Dubroca, Youen Vermard, Anne-Sophie Cornou, Sébastien Démanèche, Jérome WeissCM 2016/O:589. Which species to sample? An objective method for the selection of species when sampling fish on a market. Liz Clarke, Alastair Pout, Stephanie Sweeting, Fanyan Zeng, Lynette Ritchie, Peter Clark, Mandy Gault, Harriet Cole
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,218 | 0,407 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,003 |
| Méta-épidémiologie (sens large) | 0,004 | 0,003 |
| Bibliométrie | 0,007 | 0,009 |
| Études des sciences et des technologies | 0,003 | 0,006 |
| Communication savante | 0,016 | 0,013 |
| Science ouverte | 0,004 | 0,010 |
| Intégrité de la recherche | 0,004 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,023 | 0,008 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; l’étiquette directe de Gemma et le classifieur distillé Codex s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».