{"id":"W2071896230","doi":"10.1017/s0305000912000268","title":"The role of within-language vocabulary size in children's semantic development: evidence from bilingual children","year":2012,"lang":"en","type":"article","venue":"Journal of Child Language","topic":"Language Development and Disorders","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Psychology; Vocabulary; Schematic; Linguistics; Neuroscience of multilingualism; Categorical variable; Language development; Vocabulary development; Developmental psychology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001493429,0.0002975447,0.0004797047,0.0002225816,0.0001393637,0.00004512724,0.0007440277,0.0001645782,0.0005564749],"category_scores_gemma":[0.0007053837,0.0002002769,0.000177672,0.0003762768,0.0001215073,0.0003568587,0.0001237072,0.0006348838,0.00005731786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005934175,"about_ca_system_score_gemma":0.0001887452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006954607,"about_ca_topic_score_gemma":0.000224447,"domain_scores_codex":[0.9972275,0.0002754366,0.001108839,0.0002320714,0.0005737255,0.0005824068],"domain_scores_gemma":[0.9978408,0.0005979079,0.0008657814,0.0004472222,0.00007037073,0.0001779402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002603794,0.0003544048,0.8319913,0.000005911615,0.0004892207,0.00005509932,0.1471448,0.000006676708,0.001455061,0.0001143021,0.0002632975,0.01785957],"study_design_scores_gemma":[0.001490963,0.00006349706,0.9668728,0.0002607558,0.00008475336,0.0003302414,0.02073728,0.000002113742,0.009611362,0.00004912319,0.0001985162,0.0002986118],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9113218,0.08618234,0.00001839571,0.0001425332,0.0004884964,0.0002678378,0.0000095505,0.00002162734,0.001547443],"genre_scores_gemma":[0.9978821,0.0001182727,0.0008602613,0.0002990556,0.0005838848,0.000004814381,0.00001646819,0.00004230626,0.0001928528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1348815,"threshold_uncertainty_score":0.8167055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005361796504079389,"score_gpt":0.2589588487086578,"score_spread":0.2535970522045785,"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."}}