{"id":"W2078894097","doi":"10.3758/bf03192726","title":"Semantic feature production norms for a large set of living and nonliving things","year":2005,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":1102,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Scarborough Hospital; University of Toronto; Western University","funders":"National Institute on Deafness and Other Communication Disorders; National Institute of Mental Health; U.S. Public Health Service; National Institutes of Health","keywords":"Categorization; Set (abstract data type); Feature (linguistics); Computer science; Cognitive psychology; Semantic memory; Semantic feature; Psychology; Neuropsychology; Semantics (computer science); Cognitive science; Natural language processing; Artificial intelligence; Cognition; Linguistics","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":0.1772768251816343,"score_gpt":0.5544826933288824,"score_spread":0.3772058681472482,"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."}}