{"id":"W3158588040","doi":"10.5281/zenodo.4449725","title":"Multilingualism and third language acquisition","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Linguistic Education and Pedagogy","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Multilingualism; Linguistics; German; Metalinguistic awareness; Language acquisition; Turkish; Second-language acquisition; First language; Context (archaeology); Portuguese; Sociology; Pedagogy; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002282013,0.00007144691,0.00007687147,0.0000716393,0.001483678,0.0008328145,0.0001649154,0.00002588056,0.0508908],"category_scores_gemma":[0.0004474451,0.00007385422,0.00002312234,0.00005481586,0.0001365197,0.00009520158,0.0002364982,0.0001125703,0.002438121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000265585,"about_ca_system_score_gemma":0.000004405907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004172387,"about_ca_topic_score_gemma":0.000004171914,"domain_scores_codex":[0.9992325,0.0001396671,0.0001301767,0.0002081368,0.0001364251,0.0001531252],"domain_scores_gemma":[0.9991579,0.000025136,0.00004251366,0.00019039,0.0004977796,0.00008628525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000292224,0.0002085238,0.000004916549,0.0001178096,0.00005076361,0.0000594404,0.2473138,0.000002481665,0.003515781,0.4766178,0.1836253,0.08845414],"study_design_scores_gemma":[0.0002222862,0.00003176962,0.0001120264,0.00001455969,0.000009236945,0.00005326529,0.01494149,0.00005721217,0.0003623977,0.0004539573,0.9836497,0.00009206957],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1671739,0.0004629008,0.0001923339,0.001928951,0.0005367168,0.000161274,0.0002191908,0.0006110673,0.8287136],"genre_scores_gemma":[0.9813828,0.00005843577,0.0001292696,0.0007504308,0.0009347187,1.963165e-8,0.001477664,0.0003768261,0.01488981],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8142089,"threshold_uncertainty_score":0.9998162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05891980210132192,"score_gpt":0.2914777567078952,"score_spread":0.2325579546065732,"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."}}