{"id":"W2939064907","doi":"10.1017/s0142716419000110","title":"Long-term outcomes for bilinguals in minority language contexts: Welsh–English teenagers’ performance on measures of grammatical gender and plural morphology in Welsh","year":2019,"lang":"en","type":"article","venue":"Applied Psycholinguistics","topic":"Language Development and Disorders","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"Economic and Social Research Council","keywords":"Welsh; Plural; Psychology; Contrast (vision); Linguistics; Neuroscience of multilingualism; First language; Developmental psychology; Artificial intelligence","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":[0.001115229,0.0002460571,0.0003603449,0.0005193101,0.0006545182,0.0009777183,0.000217471,0.0003241462,0.00153935],"category_scores_gemma":[0.00274961,0.0001931992,0.0002195276,0.0002596937,0.0005424744,0.0005799629,0.0009257416,0.0005700956,0.0004579275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003816025,"about_ca_system_score_gemma":0.0004570915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01039639,"about_ca_topic_score_gemma":0.01761058,"domain_scores_codex":[0.9996988,0.00005903686,0.00002094096,0.00005383627,0.00008588059,0.00008155195],"domain_scores_gemma":[0.9984959,0.0002272617,0.0003904604,0.00006948634,0.0003573617,0.0004596202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006472743,0.0006525475,0.9527478,0.00004345823,0.00003785261,0.0008676186,0.01767953,0.00005279134,0.01519989,0.00008120267,0.0001285094,0.01186161],"study_design_scores_gemma":[0.000007437435,0.0005418078,0.9885148,0.00001150489,0.00001674106,0.0002527954,0.008180894,0.00005735314,0.002040004,0.00004548878,0.0003233151,0.000007686055],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997857,0.00002151131,0.000008516438,0.00000577933,0.000001056564,0.000001474804,0.00001266406,8.189886e-7,0.0001624027],"genre_scores_gemma":[0.9994862,0.00002848959,0.00003398868,0.000006150222,0.000001101142,0.000004640757,0.00004867307,0.000001270311,0.0003894817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01039639,"threshold_uncertainty_score":0.02067173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0378101729089995,"score_gpt":0.3316496824178979,"score_spread":0.2938395095088984,"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."}}