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Record W2951186512 · doi:10.1002/chin.201506253

ChemInform Abstract: Application of the Palladium‐Catalyzed Norbornene‐Assisted Catellani Reaction Towards the Total Synthesis of (+)‐Linoxepin (V) and Isolinoxepin (VI).

2015· article· en· W2951186512 on OpenAlexaffabout
Zafar Qureshi, Harald Weinstabl, Marcel Suhartono, Hongqiang Liu, Pierre Thesmar, Mark Lautens

Bibliographic record

VenueChemInform · 2015
Typearticle
Languageen
FieldChemistry
TopicCatalytic Cross-Coupling Reactions
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsChemistryNorbornenePalladiumCatalysisCombinatorial chemistryMedicinal chemistryOrganic chemistryPolymerizationPolymer

Abstract

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ChemInformVolume 46, Issue 6 Natural Products ChemInform Abstract: Application of the Palladium-Catalyzed Norbornene-Assisted Catellani Reaction Towards the Total Synthesis of (+)-Linoxepin (V) and Isolinoxepin (VI). Zafar Qureshi, Zafar Qureshi Dep. Chem., Univ. Toronto, Toronto, Ont. M5S 3H6, Can.Search for more papers by this authorHarald Weinstabl, Harald Weinstabl Dep. Chem., Univ. Toronto, Toronto, Ont. M5S 3H6, Can.Search for more papers by this authorMarcel Suhartono, Marcel Suhartono Dep. Chem., Univ. Toronto, Toronto, Ont. M5S 3H6, Can.Search for more papers by this authorHongqiang Liu, Hongqiang Liu Dep. Chem., Univ. Toronto, Toronto, Ont. M5S 3H6, Can.Search for more papers by this authorPierre Thesmar, Pierre Thesmar Dep. Chem., Univ. Toronto, Toronto, Ont. M5S 3H6, Can.Search for more papers by this authorMark Lautens, Mark Lautens Dep. Chem., Univ. Toronto, Toronto, Ont. M5S 3H6, Can.Search for more papers by this author Zafar Qureshi, Zafar Qureshi Dep. Chem., Univ. Toronto, Toronto, Ont. M5S 3H6, Can.Search for more papers by this authorHarald Weinstabl, Harald Weinstabl Dep. Chem., Univ. Toronto, Toronto, Ont. M5S 3H6, Can.Search for more papers by this authorMarcel Suhartono, Marcel Suhartono Dep. Chem., Univ. Toronto, Toronto, Ont. M5S 3H6, Can.Search for more papers by this authorHongqiang Liu, Hongqiang Liu Dep. Chem., Univ. Toronto, Toronto, Ont. M5S 3H6, Can.Search for more papers by this authorPierre Thesmar, Pierre Thesmar Dep. Chem., Univ. Toronto, Toronto, Ont. M5S 3H6, Can.Search for more papers by this authorMark Lautens, Mark Lautens Dep. Chem., Univ. Toronto, Toronto, Ont. M5S 3H6, Can.Search for more papers by this author First published: 23 January 2015 https://doi.org/10.1002/chin.201506253Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume46, Issue6February, 2015 RelatedInformation

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.220
Threshold uncertainty score0.823

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.023
GPT teacher head0.253
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations0
Published2015
Admission routes2
Has abstractyes

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