{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006443543,0.000259637,0.0002426084,0.0004798798,0.00018512,0.0003900184,0.0001679228,0.0003192407,0.00187355],"category_scores_gemma":[0.002783677,0.0002406394,0.0001195315,0.0001215388,0.0004297747,0.0004439039,0.0005828114,0.0003392622,0.0004241731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002285163,"about_ca_system_score_gemma":0.0002591331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002301974,"about_ca_topic_score_gemma":0.003689232,"domain_scores_codex":[0.9996899,0.0000425687,0.00002005192,0.0001078838,0.0000808683,0.00005868908],"domain_scores_gemma":[0.9990639,0.0003338544,0.0001712042,0.00008953517,0.0001415779,0.0001998704],"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":[0.001531338,0.0001542575,0.08211788,0.0001249435,0.00002630714,0.0009427452,0.0042033,0.00009924822,0.8835778,0.0002504245,0.0001712879,0.02680046],"study_design_scores_gemma":[0.00003194164,0.0006368528,0.9423226,0.00001978812,0.00002878167,0.001926154,0.001484739,0.0005170574,0.0521708,0.0003155432,0.0005201887,0.00002559296],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986085,0.00008953867,0.0002013638,0.00001126084,0.000002713228,0.000002611417,0.00003079172,0.000008747747,0.001044539],"genre_scores_gemma":[0.9986664,0.00008746548,0.0003572748,0.00002681662,0.000002970851,0.00001067879,0.00009354173,0.00001299387,0.0007418325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002301974,"threshold_uncertainty_score":0.006267667,"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."}}