{"id":"W2614239733","doi":"10.5430/elr.v6n2p26","title":"The Connectionist Approach of Processing L2 Ambiguous English Sentences","year":2017,"lang":"en","type":"article","venue":"English Linguistics Research","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grammaticality; Connectionism; Linguistics; Comprehension; Politeness; Computer science; Second language; Psychology; Natural language processing; Artificial intelligence; Grammar; Artificial neural network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005224309,0.0003623753,0.0001629766,0.0007292288,0.0003615938,0.00127276,0.0006002582,0.000517006,0.004246887],"category_scores_gemma":[0.002438559,0.0002140824,0.0003404969,0.0003208524,0.00113645,0.002375871,0.0007159891,0.0007299011,0.000304624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007194751,"about_ca_system_score_gemma":0.0004931208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002003714,"about_ca_topic_score_gemma":0.001771289,"domain_scores_codex":[0.9995527,0.0001434737,0.00001366186,0.0001542434,0.00009948394,0.00003642573],"domain_scores_gemma":[0.9994029,0.0002974752,0.0001006064,0.00006147648,0.00007797859,0.0000595663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006084135,0.001118168,0.07342281,0.001159473,0.0005048882,0.002484818,0.04238031,0.01141382,0.2646746,0.2274559,0.002387639,0.3723891],"study_design_scores_gemma":[0.0001349297,0.001368265,0.3956473,0.0001525308,0.0002350838,0.004164422,0.01130531,0.1312494,0.03702781,0.3969186,0.02158039,0.0002158483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8052434,0.0005501202,0.1274894,0.001401277,0.00004574349,0.0003037919,0.0001642767,0.0001482123,0.06465377],"genre_scores_gemma":[0.9754772,0.0003002166,0.01885115,0.00009924538,0.00002081292,0.0001097872,0.00007068599,0.00002314571,0.005047821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004246887,"threshold_uncertainty_score":0.01420724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0920883298292396,"score_gpt":0.4070893498988505,"score_spread":0.3150010200696109,"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."}}