{"id":"W4293014377","doi":"10.16995/glossa.5819","title":"Nominalization in Persian: Evidence for low negation","year":2022,"lang":"en","type":"article","venue":"Glossa a journal of general linguistics","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Nominalization; Negation; Linguistics; Persian; Argument (complex analysis); Context (archaeology); Natural language processing; Computer science; History; Philosophy; Noun","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001701604,0.0002403242,0.0003009814,0.0011617,0.001694332,0.001681341,0.0007116511,0.0007209954,0.006347289],"category_scores_gemma":[0.005946754,0.0001482269,0.0001297828,0.001235214,0.005162223,0.002550067,0.00149939,0.001131656,0.0004955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009094211,"about_ca_system_score_gemma":0.0005148592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002845762,"about_ca_topic_score_gemma":0.00248555,"domain_scores_codex":[0.9989453,0.0004467265,0.00006427667,0.0001931804,0.0002397005,0.0001108405],"domain_scores_gemma":[0.9939727,0.003471034,0.0008747404,0.0004411012,0.001073661,0.0001667692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001247171,0.0001139442,0.1090734,0.0004946729,0.0001110867,0.004326716,0.0851421,0.0006914785,0.02654481,0.6782339,0.003580079,0.09044077],"study_design_scores_gemma":[0.0002321481,0.0005483882,0.2147147,0.0002735321,0.0001322279,0.007695157,0.1149509,0.004057744,0.02648371,0.5523776,0.07837103,0.000162774],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9272745,0.0005210282,0.009761561,0.00308097,0.00008117611,0.00001113814,0.0001365283,0.00004699358,0.05908623],"genre_scores_gemma":[0.9986738,0.00004244573,0.0005792922,0.0001431183,0.0000244609,0.000002265384,0.00003713374,0.000005707888,0.0004917773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006347289,"threshold_uncertainty_score":0.02123386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05670229643146107,"score_gpt":0.289728988215412,"score_spread":0.2330266917839509,"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."}}