MétaCan
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Search for neutral MSSM Higgs bosons at LEP

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.

Classifier prediction

metacan-v1-d91a1de5be90

Predictions imitate two machine teachers. Scores are not calibrated prevalence probabilities.

Classifier candidate
Bench or experimentalTheoretical or conceptual
Classifier consensus
Bench or experimental
Teacher imitation scores

Codex

Bench or experimental0.994
Theoretical or conceptual0.012
Not applicable0.006
Other design0.002
Observational0.000
Simulation or modelling0.000
Systematic review0.000
Scholarly communication0.000
Meta-epidemiology (narrow)0.000
Qualitative0.000
Metaresearch0.000
Open science0.000
Research integrity0.000
Randomized trial0.000
Non-randomized trial0.000
Meta-analysis0.000
Meta-epidemiology (broad)0.000
Bibliometrics0.000
Science and technology studies0.000
Case report0.000

Gemma

Bench or experimental0.996
Theoretical or conceptual0.143
Observational0.001
Not applicable0.001
Open science0.000
Science and technology studies0.000
Qualitative0.000
Scholarly communication0.000
Simulation or modelling0.000
Non-randomized trial0.000
Randomized trial0.000
Meta-analysis0.000
Case report0.000
Meta-epidemiology (narrow)0.000
Meta-epidemiology (broad)0.000
Research integrity0.000
Systematic review0.000
Metaresearch0.000
Bibliometrics0.000

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.019
GPT teacher head0.279
Teacher spread
0.259 how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state. A historical pilot model assigned positive labels at roughly half the rate here, which is a machine-label association rather than an accuracy estimate.