{"id":"W1979532929","doi":"10.3758/s13428-012-0210-4","title":"Age-of-acquisition ratings for 30,000 English words","year":2012,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":1250,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Economic and Social Research Council","keywords":"Age of Acquisition; Vocabulary; Lexicon; Noun; Crowdsourcing; Computer science; Psychology; Natural language processing; Word (group theory); Variance (accounting); Similarity (geometry); Correlation; Artificial intelligence; Linguistics; Statistics; Mathematics; Cognition; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2541210475944673,"score_gpt":0.5307494941877987,"score_spread":0.2766284465933314,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}