{"id":"W1639023003","doi":"","title":"Chinese Relative Clauses Processing in Supportive Context Removing Ambiguity","year":2010,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Relative clause; Dependent clause; Subject (documents); Ambiguity; Context (archaeology); Object (grammar); Sentence; Sentence processing; Linguistics; Comprehension; Computer science; Dependency (UML); Locality; Frequency; Natural language processing; Artificial intelligence; Mathematics; History; Statistics; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002861703,0.0001992867,0.0003042937,0.0001620406,0.0001169316,0.00005163284,0.0001317931,0.0001307578,0.00001359594],"category_scores_gemma":[0.002352387,0.0001366724,0.0000344999,0.0004459795,0.0004170837,0.0003455718,0.0001390751,0.0008553585,0.000002229683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001340657,"about_ca_system_score_gemma":0.00001952643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003323921,"about_ca_topic_score_gemma":0.001375992,"domain_scores_codex":[0.9987566,0.0001416359,0.0002550311,0.0004707775,0.00009089336,0.0002850414],"domain_scores_gemma":[0.9993513,0.0003146249,0.00009277607,0.000166436,0.00003760681,0.00003731476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001551215,0.000113825,0.02007652,0.0001894621,0.00000841934,0.009471682,0.4771363,2.712974e-7,0.4757202,0.000714367,0.0001218632,0.01629197],"study_design_scores_gemma":[0.0177544,0.001837477,0.2946729,0.007915595,0.0001647344,0.01075998,0.2696213,0.0002635979,0.3313604,0.04750031,0.01197876,0.006170513],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872368,0.009626445,7.747958e-7,0.0002816227,0.0003596203,0.0001886604,0.00001921536,0.00004316879,0.002243679],"genre_scores_gemma":[0.9971876,0.0001912354,0.0001143379,0.001821234,0.0001672527,0.00001370779,0.000004560222,0.00001169605,0.000488447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2745963,"threshold_uncertainty_score":0.5573339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02224556470321276,"score_gpt":0.3622798402847606,"score_spread":0.3400342755815479,"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."}}