{"id":"W1696347710","doi":"10.22111/ijals.2012.63","title":"Natural Phonological Processes in Sistani Persian of Iran","year":2012,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Sonority hierarchy; Linguistics; Persian; Syllable; Context (archaeology); Natural (archaeology); Natural language; Phonological rule; Natural language processing; Phonology; Generalization; Computer science; Artificial intelligence; History; Speech recognition; Mathematics","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":[0.0002175417,0.0001433169,0.00009025612,0.0008474975,0.0002677798,0.0005506549,0.0001734222,0.0001257845,0.001381202],"category_scores_gemma":[0.0006299128,0.00009812962,0.00008748272,0.0004563945,0.0008139837,0.0003775427,0.0003011628,0.0002279122,0.0001838263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005388496,"about_ca_system_score_gemma":0.0004321474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00386041,"about_ca_topic_score_gemma":0.007191667,"domain_scores_codex":[0.9998382,0.00004837576,0.00001491769,0.00003325616,0.00004373375,0.00002145073],"domain_scores_gemma":[0.9998449,0.0000710122,0.0000300134,0.00001386532,0.00003329233,0.000006879179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004737975,0.0002451423,0.1038581,0.001182024,0.00008136257,0.004622814,0.1076286,0.00213659,0.1368265,0.121677,0.00452443,0.5167437],"study_design_scores_gemma":[0.00008448442,0.0003089513,0.8254223,0.0001282533,0.00004536938,0.008246413,0.02444939,0.003574418,0.01200918,0.04859115,0.07704685,0.00009326404],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971485,0.002946753,0.002324721,0.0002917807,0.00002595051,0.00002552997,0.0001125811,0.00007593125,0.0227117],"genre_scores_gemma":[0.997539,0.0005366894,0.001142268,0.000036413,0.00001112639,0.000006114268,0.00007201618,0.00000994514,0.0006464209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00386041,"threshold_uncertainty_score":0.007675886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3916872199909422,"score_gpt":0.6085896289932353,"score_spread":0.2169024090022931,"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."}}