{"id":"W2792726091","doi":"10.1075/li.00001.abd","title":"Relative clauses in Persian","year":2017,"lang":"en","type":"article","venue":"Lingvisticae Investigationes","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Persian; Object (grammar); Subject (documents); Complementizer; Relative clause; Linguistics; Prefix; Natural language processing; Computer science; Artificial intelligence; Philosophy; World Wide Web; Syntax","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007357327,0.0003175106,0.0001748137,0.002333113,0.0005322727,0.001093828,0.0003383292,0.0002036319,0.003319948],"category_scores_gemma":[0.002790611,0.0001426813,0.00008028759,0.003025705,0.001309372,0.0009770273,0.0004193836,0.0003528166,0.0002674351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000804512,"about_ca_system_score_gemma":0.0003811974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002612382,"about_ca_topic_score_gemma":0.00245748,"domain_scores_codex":[0.9993479,0.0002499486,0.00006388582,0.0001398407,0.0001555788,0.00004285673],"domain_scores_gemma":[0.9977107,0.001374498,0.0004669008,0.0001108273,0.0003106814,0.00002634697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008690039,0.0001491099,0.07655336,0.002104259,0.0001644697,0.00657513,0.1685172,0.001507671,0.06710782,0.2840613,0.008805502,0.3835851],"study_design_scores_gemma":[0.0002389455,0.0003825756,0.3250272,0.0006289749,0.0002818995,0.02308322,0.09145444,0.006596955,0.05470224,0.08109507,0.4163586,0.0001499247],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630183,0.003736442,0.006173243,0.0003524987,0.00006351227,0.00004594708,0.0006524417,0.0001309761,0.02582663],"genre_scores_gemma":[0.9968061,0.0003405114,0.001487734,0.0000516098,0.00002506102,0.00000948536,0.0003663433,0.00001696893,0.0008960463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003319948,"threshold_uncertainty_score":0.01110631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06416516648944555,"score_gpt":0.2749636500250119,"score_spread":0.2107984835355664,"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."}}