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Enregistrement W246392962

One-Click Check Presentment

2000· article· en· W246392962 sur OpenAlexaboutno aff
Steve Cocheo

Notice bibliographique

RevueABA banking journal · 2000
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueBanking Systems and Strategies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPaymentBusinessThe InternetPopulationPayment systemComputer scienceFinanceWorld Wide WebMedicine
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

THE FED AND THE PAYMENT SYSTEM: PART II banks lead the way in the Fed's EPIC electronic check presentment pilot which combines imaging with Internet delivery Malta, Mont., lies about 45 miles below the Canadian border in the northeastern part of the state, where major roads are few, the population sparse, and nature itself can be a formidable opponent. We're remotely located, says Corliss Nelson, cashier of First State Bank of Malta, with a bit of understatement. Yet, First State and a group of other banks are at the very center of state-of-the-art developments in payment systems. Backers of electronic check presentment as part of the solution to the payment system's glut of paper watch very closely, for Federal Reserve efforts there may someday spread, in some variation, throughout the system. With about 200 depository institutions, most of them small, spread over a geographic area as long as the distance between Philadelphia and Chicago, made an attractive proving ground for the Federal Reserve System's EPIC project. EPIC, which stands for Electronic Presentment Internet Checking, is a technology pilot proposed and spearheaded by the staff of the Helena, Mont., branch of the Federal Reserve Bank of Minneapolis. The goal of the Montana Pilot, as EPIC is more commonly referred to in Fed circles, is to set up a completely electronic check payments process throughout the state in voluntary collaboration with the state's financial institutions. The technique of choice is electronic check presentment, accompanied by check imaging provided by the Fed, and internet availability of check images and related records. Building greater acceptability of electronic check presentment has turned into a major goal of the Fed's Payments System Development Committee (ABA BJ, Sept. 2000, p. 42). In early September the committee issued a list of steps to take to build that acceptance. (See page 62.) Electronic check presentment consists of substituting MICR line data for the check itself, so that the actual check need not travel beyond the point where that data is captured. This eliminates much or all of the physical transfer of checks, while still permitting consumers and businesses to make payments using the familiar paper checks they have been using for more than a century. The potential payoffs include increased efficiency, reduced fraud, improved accuracy, and reduced costs. This is electronic check presentment as defined by the Fed, and as practiced in Helena; some private sector electronic check presentment efforts still include the actual check somewhere in the flow. A phased approach The pilot is a testing of legal concepts as well as technological ones. A key issue is ensuring the acceptability of an official replica of a check in lieu of the actual check. The Fed's Helena branch and participating depository institutions are engaged in the program under bilateral agreements that supersede certain laws and rules that would otherwise apply to checking transactions. This temporary legal underpinning would have to be made permanent, in some fashion, before much of what is going on in could be applied beyond the state. The pilot consists of three phases, with participating institutions already engaged in the first two, with the third still under development: * Phase one -- Beginning in June 1999, the Helena Fed began to image capture and archive all checks that pass through it, with the branch now processing an average of 750,000 checks daily, according to Sam Gane, branch manager. At the imaging stage, both MICR line information as well as the front and back of every check are captured. Participating depositories, in their role as paying banks, receive electronic presentment files, rather than checks, and process these as if they had received checks. …

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,009
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,713
Score d'incertitude au seuil0,409

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,009
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0020,001
Communication savante0,0050,005
Science ouverte0,0020,005
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,7130,487

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.

Tête enseignante Opus0,025
Tête enseignante GPT0,225
Écart entre enseignants0,201 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2000
Routes d'admission1
Résumé présentoui

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