{"id":"W2464263125","doi":"10.1017/s0305000916000295","title":"<i>Dog</i>or<i>chien</i>? Translation equivalents in the receptive and expressive vocabularies of young French–English bilinguals","year":2016,"lang":"en","type":"article","venue":"Journal of Child Language","topic":"Language Development and Disorders","field":"Psychology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Psychology; Vocabulary; Comprehension; Vocabulary development; Linguistics; Neuroscience of multilingualism; Set (abstract data type); 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":[0.0006382417,0.000133258,0.0002628619,0.0001671964,0.00004248043,0.0000216652,0.0002375993,0.00008938406,0.0004868029],"category_scores_gemma":[0.0003195656,0.00006426407,0.00008080996,0.0001769571,0.0001222157,0.0002192197,0.00001953469,0.000185623,0.000002732223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001329019,"about_ca_system_score_gemma":0.0000377947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000683219,"about_ca_topic_score_gemma":0.0001649285,"domain_scores_codex":[0.998672,0.0002213425,0.000492648,0.0001373742,0.0002812291,0.0001953856],"domain_scores_gemma":[0.9989304,0.0003570608,0.0004078117,0.0001663978,0.00009549982,0.00004282656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0007037935,0.0003709442,0.06797504,0.00004206059,0.000221547,0.0003851035,0.8503742,0.000001517787,0.004872447,0.0005390589,0.003046842,0.07146746],"study_design_scores_gemma":[0.02318654,0.0015852,0.6336088,0.002069146,0.0003486247,0.0009413204,0.308712,0.000003338057,0.01449214,0.001893015,0.01214404,0.001015803],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790007,0.004900375,0.0002203472,0.0006536748,0.0004590175,0.0001902033,0.00001878676,0.00000847962,0.01454837],"genre_scores_gemma":[0.9987524,0.000181015,0.000311073,0.00026793,0.0002218246,0.000004200522,0.000002976848,0.00001246193,0.0002460877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5656338,"threshold_uncertainty_score":0.533015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441756333118104,"score_gpt":0.2953748736941785,"score_spread":0.2809573103629975,"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."}}