{"id":"W4387479068","doi":"10.3389/978-2-8325-3573-8","title":"Language Acquisition in Diverse Linguistic, Social and Cognitive Circumstances, volume II","year":2023,"lang":"en","type":"book","venue":"Frontiers research topics","topic":"Linguistics, Language Diversity, and Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Department of Education of Guangdong Province; Norges Forskningsråd; Ministerio de Economía y Competitividad; Universiti Kebangsaan Malaysia; Hong Kong Polytechnic University; Universiti Sains Malaysia; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Universiteit Utrecht","keywords":"Linguistics; Volume (thermodynamics); Cognition; Psychology; Cognitive science; Computer science; Sociology; Philosophy; Neuroscience","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006172759,0.0002337526,0.0004183286,0.0006081987,0.001071798,0.0003381722,0.0002920443,0.0002644073,0.00068952],"category_scores_gemma":[0.003817138,0.0002634946,0.0001036943,0.00007129594,0.0009639337,0.0001189887,0.0005431226,0.0009309694,0.0001835765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003993174,"about_ca_system_score_gemma":0.0002497968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001479929,"about_ca_topic_score_gemma":0.00531559,"domain_scores_codex":[0.9978483,0.0001514217,0.0002567387,0.0004753607,0.0007169044,0.000551262],"domain_scores_gemma":[0.9978274,0.00002871739,0.0000989148,0.0001621712,0.001772854,0.0001099911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000392025,0.00003936053,0.0006110346,0.0002442272,0.00008964004,0.00036093,0.1480998,5.097996e-8,8.367351e-8,0.00674969,0.8417996,0.001966372],"study_design_scores_gemma":[0.0006739387,0.0001115958,0.0008615472,0.0002760582,0.0001054096,1.400298e-7,0.08401214,0.0000539782,0.000001069895,0.02026722,0.8932042,0.0004326899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01217252,0.00904974,0.00008149369,0.0008912702,0.04237566,0.001762026,0.005336065,0.0003618876,0.9279693],"genre_scores_gemma":[0.002732533,0.0002466001,0.00002586092,0.00006831228,0.03257803,0.00001245386,0.0006622311,0.00004364612,0.9636303],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06408763,"threshold_uncertainty_score":0.9999817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07042200121006331,"score_gpt":0.3222522920176941,"score_spread":0.2518302908076308,"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."}}