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Record W2122233610 · doi:10.1109/iembs.2007.4353242

Melody Shape - A Suggested Novel Attribute for the Biomedical Analysis of the Infant Cry

2007· article· en· W2122233610 on OpenAlex

Why this work is in the frame

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

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueConference proceedings · 2007
Typearticle
Languageen
FieldHealth Professions
TopicInfant Health and Development
Canadian institutionsnot available
FundersHospital for Sick Children
KeywordsMelodyCryingInfant cryingComputer sciencePsychicDomain (mathematical analysis)Artificial intelligenceSpeech recognitionPsychologyMathematicsMedicine

Abstract

fetched live from OpenAlex

The biomedical analysis of the infant cry is aimed to find connections between several diseases during infancy and their influence on the human sound production system. A new, non-invasive diagnostic tool could be created, if these connections were fully discovered. Various reports have already dealt with the analysis of the crying sound for physiological, psychic, physical, developmental, etc. reasons. In these studies characteristic attributes of the infant cry were obtained and analyzed. In the time domain mostly absolute and normalized durations, in the frequency domain frequency components, intervals were determined. The melody of crying was analyzed occasionally as there were no exact methods for categorizing the shapes of the melodies. In this paper the authors introduce a new system for categorizing the melodies. By this system the analysis of the melodies can be evaluated in an easy and objective way that it could be included in further biomedical researches dealing with the infant cry.

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.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score0.841

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.089
GPT teacher head0.409
Teacher spread0.320 · 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