{"id":"W3165266035","doi":"10.31234/osf.io/xkc9b","title":"Fine-tuning language discrimination: Bilingual and Monolingual infants’ detection of language switches","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Language Development and Disorders","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Centre for Research on Brain Language and Music","funders":"National Institute of Child Health and Human Development; Natural Sciences and Engineering Research Council of Canada; Concordia University; Fondation Pour l'Audition","keywords":"Computer science; Psychology; Neuroscience of multilingualism; Preference; Linguistics; Word (group theory); First language; Natural language processing; Artificial intelligence; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002329565,0.0003475785,0.0004582711,0.0002581771,0.00006096594,0.00005429087,0.0002488161,0.0003771274,0.0007657366],"category_scores_gemma":[0.0002619671,0.0003148524,0.0001153295,0.000184687,0.00009061038,0.00006370012,0.0004950737,0.0005282859,0.00003473958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000282306,"about_ca_system_score_gemma":0.0001157113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001880618,"about_ca_topic_score_gemma":0.001502333,"domain_scores_codex":[0.9982659,0.00008033058,0.0004964989,0.0006355181,0.000239603,0.0002821931],"domain_scores_gemma":[0.9990227,0.0001099254,0.0002897307,0.0004064514,0.00006594929,0.0001051969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003383336,0.0001913362,0.00699348,0.000764287,0.0005245876,0.0002300182,0.6075757,0.00001703465,0.0575168,0.0008976945,0.0003224451,0.3246283],"study_design_scores_gemma":[0.006463856,0.0005689075,0.09015714,0.0007008456,0.0008157666,0.0001150478,0.678535,0.002096538,0.2131323,0.003239366,0.0006078907,0.003567328],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737902,0.003330428,0.002506166,0.0002432078,0.0007632842,0.0003748503,0.00003789576,0.0002325242,0.01872141],"genre_scores_gemma":[0.9966093,0.00002144396,0.0009505145,0.0001344279,0.0002732543,0.00003312472,0.0001953,0.00004829541,0.001734363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.321061,"threshold_uncertainty_score":0.9999304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02685065322409388,"score_gpt":0.3157654467137367,"score_spread":0.2889147934896428,"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."}}