{"id":"W2946607283","doi":"10.3389/fcomm.2019.00016","title":"Aging and Language: Maintenance of Morphological Representations in Older Adults","year":2019,"lang":"en","type":"article","venue":"Frontiers in Communication","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University; Centre for Research on Brain Language and Music","funders":"Social Sciences and Humanities Research Council of Canada; Université de Montréal; Centre for Research on Brain, Language and Music","keywords":"Lexical decision task; Priming (agriculture); Facilitation; Psychology; Age groups; Audiology; Young adult; Repetition priming; Developmental psychology; Prime (order theory); Inflection; Demography; Cognition; Medicine; Linguistics; Mathematics; Biology; Neuroscience; Combinatorics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003003427,0.0002630286,0.0002297874,0.0004493208,0.0002020909,0.0003884842,0.00009995099,0.0003434868,0.001566579],"category_scores_gemma":[0.0008558338,0.0001742189,0.0001537376,0.0001742256,0.0002347752,0.0004826199,0.0002370029,0.0001923122,0.0003179896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008612178,"about_ca_system_score_gemma":0.0001068379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001022901,"about_ca_topic_score_gemma":0.001476257,"domain_scores_codex":[0.9999202,0.000008040351,0.00001054221,0.00003120379,0.0000172839,0.00001277139],"domain_scores_gemma":[0.9996562,0.00003827812,0.0001728984,0.00002407992,0.00004490582,0.00006358467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003232862,0.0003685235,0.7312305,0.0001856555,0.00008538291,0.002600706,0.0045647,0.00005062438,0.2166712,0.00019549,0.0004185048,0.0403958],"study_design_scores_gemma":[0.00000862277,0.000394705,0.9968161,0.000005040921,0.00001639168,0.0007928218,0.0002902863,0.00002575786,0.001330484,0.00007222821,0.000243631,0.000004020913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992222,0.0003138034,0.00005349225,0.00001970217,0.00000449527,0.000002757315,0.00005877401,0.000003424776,0.0003213866],"genre_scores_gemma":[0.9990461,0.0002208471,0.0001201245,0.0000344017,0.000008814528,0.00000506881,0.00008121473,0.000002051006,0.0004813188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001566579,"threshold_uncertainty_score":0.005240738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01333987041361149,"score_gpt":0.2876273072822211,"score_spread":0.2742874368686096,"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."}}