Notice bibliographique
Résumé
What's Changed Fix (and test) the pgi tutorials. by @jcapriot in https://github.com/simpeg/simpeg/pull/1133 Run style checks in Azure Pipelines by @santisoler in https://github.com/simpeg/simpeg/pull/1134 Add property to control number of processes created. by @jcapriot in https://github.com/simpeg/simpeg/pull/1135 Use r-strings on strings and docstrings that contain backslashes by @santisoler in https://github.com/simpeg/simpeg/pull/1136 Run flake8 in CI against a selection of rules by @santisoler in https://github.com/simpeg/simpeg/pull/1141 Rename variables to avoid shadowing builtins by @santisoler in https://github.com/simpeg/simpeg/pull/1137 Ignore flake warning over empty docstrings by @santisoler in https://github.com/simpeg/simpeg/pull/1149 Avoid using getattr with fixed constant strings by @santisoler in https://github.com/simpeg/simpeg/pull/1139 Separate flake 8 ignores by line breaks by @jcapriot in https://github.com/simpeg/simpeg/pull/1150 Avoid using mutables as default parameters by @santisoler in https://github.com/simpeg/simpeg/pull/1142 Ignore b028 by @jcapriot in https://github.com/simpeg/simpeg/pull/1155 Remove unused imports across SimPEG by @santisoler in https://github.com/simpeg/simpeg/pull/1132 Avoid calling functions in default arguments by @santisoler in https://github.com/simpeg/simpeg/pull/1143 Fix plot_inv_mag_MVI_Sparse_TreeMesh.py by @thibaut-kobold in https://github.com/simpeg/simpeg/pull/1159 fix mref depreciation in regularization/pgi.py by @thibaut-kobold in https://github.com/simpeg/simpeg/pull/1157 Avoid using variables not binded in function definition by @santisoler in https://github.com/simpeg/simpeg/pull/1145 Remove unused loop variables by @santisoler in https://github.com/simpeg/simpeg/pull/1138 Enable use of inactive cells in equivalent source models by @nwilliams-kobold in https://github.com/simpeg/simpeg/pull/1147 Flexible dc boundary by @jcapriot in https://github.com/simpeg/simpeg/pull/1168 Do not use multiprocessing on single thread. by @jcapriot in https://github.com/simpeg/simpeg/pull/1170 fix gmm.plot_pdf new error from sklearn >=1.2 by @thibaut-kobold in https://github.com/simpeg/simpeg/pull/1156 Black 23.1 by @jcapriot in https://github.com/simpeg/simpeg/pull/1174 Fix for _has_fields by @jcapriot in https://github.com/simpeg/simpeg/pull/1175 Do not import deprecated discretize utilities by @jcapriot in https://github.com/simpeg/simpeg/pull/1176 update codecov script by @jcapriot in https://github.com/simpeg/simpeg/pull/1178 Linear mapping by @jcapriot in https://github.com/simpeg/simpeg/pull/1177 Use discretize.utils.active_from_xyz to get active topography cells by @dccowan in https://github.com/simpeg/simpeg/pull/1171 Update minimum versions by @jcapriot in https://github.com/simpeg/simpeg/pull/1179 Add B028 to flake8 ignore by @jcapriot in https://github.com/simpeg/simpeg/pull/1181 Add possibility to pass fields to getJtJdiag by @jcapriot in https://github.com/simpeg/simpeg/pull/1182 Mira review beta estimator by @dccowan in https://github.com/simpeg/simpeg/pull/1173 Add option for amplitude threshold on UpdateSens directive by @domfournier in https://github.com/simpeg/simpeg/pull/1163 Change default n_processes for potential fields by @jcapriot in https://github.com/simpeg/simpeg/pull/1186 Update current_utils.py by @domfournier in https://github.com/simpeg/simpeg/pull/1166 Avoid comparing bool variables to True or False by @santisoler in https://github.com/simpeg/simpeg/pull/1160 Avoid using bare excepts that catch every possible exception by @santisoler in https://github.com/simpeg/simpeg/pull/1140 Update SimPEG.Report() by @prisae in https://github.com/simpeg/simpeg/pull/1104 Addition regarding inversion to big_picture by @prisae in https://github.com/simpeg/simpeg/pull/729 Do not store real lambdas as complex by @jcapriot in https://github.com/simpeg/simpeg/pull/1190 Improve docstring of depth_weighting by @santisoler in https://github.com/simpeg/simpeg/pull/1192 Add issue forms for github by @jcapriot in https://github.com/simpeg/simpeg/pull/1189 Update deprecation usage in optimization module by @jcapriot in https://github.com/simpeg/simpeg/pull/1194 Update getting started guides by @jcapriot in https://github.com/simpeg/simpeg/pull/1188 Update DC1D for flexibility and speed by @jcapriot in https://github.com/simpeg/simpeg/pull/1191 Start removing unused variables by @santisoler in https://github.com/simpeg/simpeg/pull/1161 Fix check for reference_model in PGI regularization by @santisoler in https://github.com/simpeg/simpeg/pull/1196 update JTV to work for an arbitrary number of models by @jcapriot in https://github.com/simpeg/simpeg/pull/1197 Simulation of Simulations by @jcapriot in https://github.com/simpeg/simpeg/pull/1183 Remove flake errors that were already solved by @santisoler in https://github.com/simpeg/simpeg/pull/1203 Fix flake8 B015 errors: solve unused comparisons by @santisoler in https://github.com/simpeg/simpeg/pull/1200 Fix flake E401 error: multiple imports in one line by @santisoler in https://github.com/simpeg/simpeg/pull/1202 Patch/identity map init by @jcapriot in https://github.com/simpeg/simpeg/pull/1205 Fix length scale getters by @jcapriot in https://github.com/simpeg/simpeg/pull/1207 Patch/fix save sparse dict by @jcapriot in https://github.com/simpeg/simpeg/pull/1206 Add PR template file by @jcapriot in https://github.com/simpeg/simpeg/pull/1208 0.19.0 Staging by @jcapriot in https://github.com/simpeg/simpeg/pull/1209 Full Changelog: https://github.com/simpeg/simpeg/compare/v0.18.1...v0.19.0
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 | 0,002 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,004 | 0,003 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,004 | 0,006 |
| Science ouverte | 0,006 | 0,006 |
| Intégrité de la recherche | 0,002 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,306 | 0,334 |
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; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».