on Alternative Therapies of the Canadian Breast Cancer Research Initiative
Bibliographic record
Abstract
This article on 714-X completes the series that reviews the evidence for the safety and ef-fectiveness of 6 unconventional therapies commonly used by Canadian cancer patients. The purpose and methodology of the review appear in part 1 (CMAJ 1998;158[7]:897-902). Annotated bibliographies providing more detailed references are available in print from the Canadian Breast Cancer Research Initiative (CBCRI; address appears at end of arti-cle). [The annotated bibliography also includes references pertaining to the somatoscope de-veloped by Gaston Naessens, creator of 714-X, and to Naessens ’ theories of the infective causes of cancer.] The reference lists and the lay summaries of the task force’s findings on the 6 therapies (published in 1997) can be found on the CBCRI’s Web site (www.breast.cancer.ca). The following article adapts the lay summary on 714-X for clini-cians and provides references for the key findings. [Copies of this and other articles in the series can be found on CMAJ’s Web site (www.cma.ca/cmaj/series/therapy.htm).] The product 714-X was developed in Canada by Gaston Naessens, aFrench-born scientist and researcher who has worked out of a privatelyfinanced laboratory in Quebec for more than 30 years. Early in his ca-reer Naessens developed the “somatoscope, ” a specialized microscope that en-abled him to examine fresh, unstained human blood at a significantly higher mag-nification than was possible with an ordinary light microscope.1 (The later
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.018 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.014 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.029 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".