{"id":"W1964174279","doi":"10.1038/ncomms2430","title":"Prosody cues word order in 7-month-old bilingual infants","year":2013,"lang":"en","type":"article","venue":"Nature Communications","topic":"Language Development and Disorders","field":"Psychology","cited_by":166,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Fondation Fyssen; Agence Nationale de la Recherche; James S. McDonnell Foundation","keywords":"Prosody; Computer science; Task (project management); Grammar; Word (group theory); Language acquisition; Word order; Neuroscience of multilingualism; Exploit; Second-language acquisition; Word learning; First language; Psychology; Linguistics; Artificial intelligence; Natural language processing; Speech recognition; Vocabulary","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":[0.0003435323,0.0002436253,0.0005196547,0.0003166146,0.0003173699,0.0006350338,0.0001863874,0.0004406615,0.001863358],"category_scores_gemma":[0.001129331,0.0003389013,0.0001788611,0.00009757331,0.0004081151,0.0003164789,0.0006520163,0.0006824223,0.0006620942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002171488,"about_ca_system_score_gemma":0.0002731692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001888413,"about_ca_topic_score_gemma":0.00320049,"domain_scores_codex":[0.9998223,0.0000269728,0.00001155558,0.00003779302,0.00005569754,0.00004571085],"domain_scores_gemma":[0.9995523,0.0001407276,0.00008574453,0.00002882528,0.00007792697,0.0001144022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001075093,0.000364162,0.03535403,0.0001404835,0.00002582363,0.004076292,0.006013045,0.00005523055,0.9351439,0.0004965415,0.0003256373,0.01692965],"study_design_scores_gemma":[0.00007905981,0.002394798,0.7973722,0.0001022983,0.0001287386,0.007913457,0.00759948,0.000876768,0.1779299,0.0009683876,0.004544086,0.00009092198],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986237,0.0001276724,0.000114076,0.00002347889,0.000007171578,0.000004409988,0.00004722078,0.00001288364,0.001039341],"genre_scores_gemma":[0.9969345,0.0003390525,0.0005846944,0.0000550085,0.000006372228,0.00002972462,0.000187206,0.00002696937,0.001836362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001888413,"threshold_uncertainty_score":0.006233573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779058717339539,"score_gpt":0.3382729137054583,"score_spread":0.3204823265320629,"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."}}