{"id":"W2151184370","doi":"10.1177/1367006910363059","title":"Predicting two Mandarin-English bilingual children’s first 50 words: Effects of frequency and relative exposure in the input","year":2010,"lang":"en","type":"article","venue":"International Journal of Bilingualism","topic":"Language Development and Disorders","field":"Psychology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Mandarin Chinese; Psychology; Linguistics; Noun; Second language","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":[0.0009948417,0.0001454302,0.0002162427,0.0003245156,0.00005169296,0.00005365733,0.000512059,0.0001151149,0.0001275136],"category_scores_gemma":[0.001686525,0.0001014342,0.00009528131,0.0001369226,0.0001401649,0.0002099486,0.00006206845,0.0007296277,0.00000211726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002627679,"about_ca_system_score_gemma":0.0001216827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003761792,"about_ca_topic_score_gemma":0.0008972532,"domain_scores_codex":[0.9984016,0.0001328751,0.0006409473,0.0001759087,0.0004815873,0.000167092],"domain_scores_gemma":[0.9980778,0.0008511164,0.0005067143,0.0001516954,0.0003632709,0.00004945969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00015843,0.0002775388,0.7979838,0.00001514448,0.0003379003,0.000334296,0.1877818,0.000008746681,0.0006875414,0.006337659,0.00008592201,0.005991235],"study_design_scores_gemma":[0.009798536,0.0005038354,0.9580607,0.0004675366,0.0001154973,0.001098706,0.01504472,0.00001391501,0.001527089,0.01185382,0.001117448,0.0003982392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917238,0.0009444586,0.00004546709,0.000361223,0.003235101,0.0001771769,0.000009945107,0.00001116234,0.00349169],"genre_scores_gemma":[0.9981529,0.00003410954,0.0007433287,0.0002075115,0.0007766451,0.000004772708,0.000007407799,0.0000140066,0.00005937555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1727371,"threshold_uncertainty_score":0.4136365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005337917505302036,"score_gpt":0.2828532109356439,"score_spread":0.2775152934303418,"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."}}