{"id":"W3042829546","doi":"10.1344/dialectologia2020.25.6","title":"REDUPLICATION INITIATED THROUGH DISCOURSE MARKERS: A CASE OF HADOTI.","year":2020,"lang":"en","type":"article","venue":"Dialectologia","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Network for Business Sustainability","funders":"","keywords":"Reduplication; Phenomenon; Verb; Linguistics; Focus (optics); Variety (cybernetics); Sentence; Hindi; Indonesian; Discourse marker; Feature (linguistics); History; Computer science; Sociology; Philosophy; Artificial intelligence; Epistemology; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000130411,0.0001126476,0.0002664824,0.00004634777,0.00005279867,0.000009486772,0.0002222865,0.0001699133,0.0009875937],"category_scores_gemma":[0.0003406924,0.000101377,0.00006597178,0.0004075258,0.0003027481,0.00004285077,0.00006752115,0.0002636425,0.0003362383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001090504,"about_ca_system_score_gemma":0.0000468269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003732404,"about_ca_topic_score_gemma":0.00003719732,"domain_scores_codex":[0.9987938,0.0002741746,0.0002640352,0.0003090147,0.00007622247,0.0002827485],"domain_scores_gemma":[0.9991446,0.0002422732,0.0001140521,0.0003362608,0.00007976555,0.00008308886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.009570018,0.004155396,0.1168116,0.003210391,0.003522611,0.02445918,0.2429138,0.00005408387,0.215615,0.05011844,0.309812,0.01975736],"study_design_scores_gemma":[0.02759864,0.01934757,0.6431915,0.000959996,0.001718484,0.01389539,0.04687257,0.004770101,0.1834233,0.04583154,0.006965866,0.005425118],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861321,0.0005742048,0.0007229256,0.003009321,0.0002065723,0.0003795444,0.00005684322,0.00006882288,0.008849602],"genre_scores_gemma":[0.9988211,0.00002968266,0.0002035908,0.0006911721,0.0000589636,0.00006888429,0.00004361435,0.00001506732,0.00006785781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5263798,"threshold_uncertainty_score":0.9999256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.157585706456972,"score_gpt":0.4318782855142411,"score_spread":0.2742925790572691,"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."}}