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Record W2144589604 · doi:10.5737/1181912x144224227

Mapping the journey of cancer patients through the health care system. Part 2: Methodological approaches and basic findings

2004· article· en· W2144589604 on OpenAlexaffvenueabout
Jeff A. Sloan, Shannon D. Scott, Anne Nemecek, Paul Blood, Cheryl Trylinski, Heather Whittaker, Samy El Sayed, Jennifer Clinch, Kong Khoo

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2004
Typearticle
Languageen
FieldMedicine
TopicGlobal Cancer Incidence and Screening
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsChartConstruct (python library)Health careCompleteness (order theory)Event (particle physics)Computer scienceMedicineData scienceStatisticsMathematics

Abstract

fetched live from OpenAlex

This is the second in a series of articles from a line of research whose intent was to construct a complete history of interactions with the health care system. This paper provides details of the methods developed to collect and collate the scattered information regarding the event history (trajectory) that a cancer patient experiences in traveling through the Manitoba health care system from one year prior to diagnosis through to two years post-diagnosis. Survival data were obtained through 1994. Basic population data obtained from this work are also presented, including survival information through to four years post-diagnosis. Issues regarding standardized data recording and detail level of clinical events in the chart record are discussed. This part of the research demonstrates that diverse data sources in the health care system can be linked with a high degree of accuracy and completeness of data.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.488
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.339
GPT teacher head0.422
Teacher spread0.083 · 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 designObservational
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".

Quick stats

Citations4
Published2004
Admission routes3
Has abstractyes

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