{"id":"W2087004912","doi":"10.1017/s1366728907003240","title":"Inter-lingual homograph letter detection in mixed language text: Persistent missing-letter effects and the effect of language switching","year":2008,"lang":"en","type":"article","venue":"Bilingualism Language and Cognition","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Sentence; Context (archaeology); Computer science; Function (biology); Linguistics; Natural language processing; Artificial intelligence; History; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008226265,0.000396461,0.0005665077,0.0003738578,0.0003049763,0.00006562421,0.0002094162,0.0002061946,0.00002020352],"category_scores_gemma":[0.00129853,0.000269523,0.0002430436,0.000372544,0.000640985,0.0001845087,0.0001353664,0.0005468245,0.000006493693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001910359,"about_ca_system_score_gemma":0.00001779449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004298516,"about_ca_topic_score_gemma":0.0001850496,"domain_scores_codex":[0.9969153,0.001141035,0.0004973433,0.0007102134,0.0002835148,0.0004525738],"domain_scores_gemma":[0.997422,0.001850473,0.0002474099,0.0003545524,0.00003203069,0.00009351638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000565824,0.00006083864,0.0004158211,0.0002535298,0.00002941093,0.002675951,0.05766038,9.496865e-7,0.8848196,0.000005585279,0.000024055,0.05348806],"study_design_scores_gemma":[0.005655183,0.0005750709,0.0006894371,0.0002568677,0.0001743841,0.002154208,0.00411068,0.0001806068,0.9857107,0.00004667873,0.00005301869,0.0003931774],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952916,0.002800867,0.00006642249,0.0004174716,0.0003158942,0.000772814,0.00001443744,0.0001123527,0.0002081234],"genre_scores_gemma":[0.9953888,0.0000916993,0.00004182406,0.003897523,0.0003922035,0.00005112953,0.00001914908,0.00004189837,0.00007577463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1008911,"threshold_uncertainty_score":0.9999757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00882212969302547,"score_gpt":0.2420392213619755,"score_spread":0.23321709166895,"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."}}