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Record W2096440126

Development and retention of fine psychomotor skills: implications for the aging dentist.

2010· article· en· W2096440126 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePubMed · 2010
Typearticle
Languageen
FieldMedicine
TopicOphthalmology and Visual Health Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPsychomotor learningMotor skillPsychologyCognitive psychologyImprinting (psychology)Developmental psychologyCognitionNeuroscience
DOInot available

Abstract

fetched live from OpenAlex

Dentistry is a profession that involves the acquisition and maintenance of fine psychomotor skills. The many components of the motor system in the brain work together during all movements, but each area is activated to a varying degree depending on whether an individual is learning, training or maintaining expertise. The transition from nonexpert to expert involves practice and experience to allow imprinting of neuronal connections within the brain, which in turn causes those practised movements to become automated. With age, many people slowly lose memory, but are the fine motor movements that a dentist has mastered over a lifetime also lost? The aging expert experiences the same deterioration as an aging nonexpert in tasks that are unrelated to the expertise, but tasks that an expert has selectively maintained through decades of practice are retained through aging.

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)0.001
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 score0.826
Threshold uncertainty score0.104

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.154
GPT teacher head0.460
Teacher spread0.306 · 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