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Record W7146239476

Management of intellectual Property Rights in Global Markets(Part 1) ―Present Canada's Access to Medicines Regime and its Existing Problems―

2015· article· ja· W7146239476 on OpenAlexaboutno aff
Rina D. ISHIKAWA, Masami Kajiura

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2015
Typearticle
Languageja
FieldBusiness, Management and Accounting
TopicIntellectual Property and Patents
Canadian institutionsnot available
Fundersnot available
KeywordsIntellectual propertyLegislationProperty (philosophy)Property rightsGovernment (linguistics)Access to medicinesNegotiation
DOInot available

Abstract

fetched live from OpenAlex

して 20 年の最低保護期間を規 定する TRIPS 協定が発足したことに伴い、途上国 の医療現場では、従来までは容易に入手すること が可能であった安価なジェネリ ック医薬品 1) や特 許保護期間中の医薬品のコピー版 2) の 入手が困難 となり、人々が必要な医薬品を入手することがで きない、という状況に直面していたからである 。 こうした状況に 直面した途上国の人々 等の声 を 1 ) ジェネリック医薬品 (generic medicine 又は generic drug) とは 、 新規に開発された先発医薬品(新薬)と同 ー の有効成分を同 一量合み、同 一 経路から投与する製剤で、効能 ・ 効果 ・ 用法 ・ 用量が原則的に同 一 であり先発医薬品と同等の|臨床効果 ・ 作 用が得られる医薬品のことである。(厚生労働省 [20 12J .)先 発医薬品には

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.096
Threshold uncertainty score0.332

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.006
Science and technology studies0.0080.006
Scholarly communication0.0150.006
Open science0.0030.002
Research integrity0.0060.003
Insufficient payload (model declined to judge)0.0160.001

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 head0.128
GPT teacher head0.276
Teacher spread0.148 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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