{"id":"W3003163885","doi":"10.2478/linpo-2018-0013","title":"Restructuring of the Iranian tense/aspect/mood system","year":2018,"lang":"en","type":"article","venue":"Lingua Posnaniensis","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Grammaticalization; Linguistics; Restructuring; Persian; Present perfect; History; Past tense; Philosophy; Political science; Verb","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":[0.0003936641,0.0001180878,0.00006264248,0.0005496007,0.0003731834,0.0006343902,0.0001637087,0.00007124793,0.001543337],"category_scores_gemma":[0.0005215943,0.00007763125,0.00009633409,0.0003929625,0.001168129,0.0005912954,0.0002882657,0.0002861521,0.0001930603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007255601,"about_ca_system_score_gemma":0.0003881971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004539354,"about_ca_topic_score_gemma":0.004529773,"domain_scores_codex":[0.9998585,0.00004107192,0.000009633151,0.00003102963,0.00003580171,0.00002393215],"domain_scores_gemma":[0.9998025,0.00003320094,0.00004296846,0.00003101203,0.00008166283,0.000008668389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001949261,0.00003817465,0.04969814,0.0001790658,0.00005712212,0.001125517,0.04497987,0.002275768,0.07403761,0.5445722,0.003360444,0.2794811],"study_design_scores_gemma":[0.000054089,0.0003395292,0.5402369,0.0001095508,0.00009204236,0.004919275,0.01684165,0.0111708,0.03158267,0.1442416,0.2502932,0.0001187084],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8939703,0.0004868278,0.01197822,0.0004114353,0.00003610202,0.00003479578,0.0002056579,0.0001127433,0.09276389],"genre_scores_gemma":[0.9974809,0.00006724198,0.001138825,0.0000129765,0.000005822436,0.000002970612,0.00003135849,0.000008632488,0.001251221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004539354,"threshold_uncertainty_score":0.009025812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01840679664801251,"score_gpt":0.2173716354525775,"score_spread":0.198964838804565,"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."}}