{"id":"W1919299360","doi":"10.1111/cogs.12234","title":"Feature Statistics Modulate the Activation of Meaning During Spoken Word Processing","year":2015,"lang":"en","type":"article","venue":"Cognitive Science","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Research on Brain Language and Music","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Optimal distinctiveness theory; Feature (linguistics); Lexical decision task; Meaning (existential); Representation (politics); Psychology; Word (group theory); Natural language processing; Computer science; Cognitive psychology; Task (project management); Cognition; Linguistics; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003108961,0.0001793962,0.0002356718,0.0001558976,0.00009344058,0.0005943573,0.000175954,0.0002549357,0.001493457],"category_scores_gemma":[0.004615457,0.0002560672,0.0001291232,0.0001301354,0.0003038108,0.0003937017,0.0003803348,0.0003694081,0.0001667623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000196541,"about_ca_system_score_gemma":0.0001962238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000384922,"about_ca_topic_score_gemma":0.0005020813,"domain_scores_codex":[0.9997347,0.00007031321,0.0000153598,0.00008243331,0.00007056398,0.0000266006],"domain_scores_gemma":[0.9978831,0.001574074,0.0002502092,0.00008335652,0.00008786136,0.0001212997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007302319,0.00008520167,0.006771987,0.00009444205,0.00002259812,0.0001269667,0.000695747,0.000904184,0.9759966,0.0009217071,0.0001099582,0.01354032],"study_design_scores_gemma":[0.0002396282,0.001859996,0.5156156,0.00005452367,0.0001614968,0.000770967,0.0008512856,0.04787837,0.422419,0.008395127,0.001649211,0.0001046723],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973291,0.00003999813,0.001780611,0.00002382248,0.000008506506,0.000006656501,0.00003218621,0.00003060648,0.0007484527],"genre_scores_gemma":[0.9976546,0.00004751082,0.001780609,0.00001499667,0.000004801591,0.00002235782,0.0000420762,0.00004293797,0.0003900698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001493457,"threshold_uncertainty_score":0.004996121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03939239654606887,"score_gpt":0.3240986615997949,"score_spread":0.2847062650537261,"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."}}