{"id":"W2714244595","doi":"10.14288/1.0340686","title":"Discourse particles and the syntax of discourse-evidence from Miesbach Bavarian","year":2017,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Linguistic research and analysis","field":"Arts and Humanities","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Linguistics; Syntax; Sociology; Computer science; Philosophy","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003205457,0.00003548153,0.0002623188,0.00001771616,0.001038597,0.000559692,0.0005414647,0.00002566888,0.0005349506],"category_scores_gemma":[0.0003893956,0.00006940628,0.0001185749,0.00001885171,0.003977658,0.0004080739,0.0002209701,0.00008794169,0.000008180594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009947235,"about_ca_system_score_gemma":0.00004539753,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.621783,"about_ca_topic_score_gemma":0.6653217,"domain_scores_codex":[0.999178,0.00008142739,0.0001104896,0.0002101983,0.0002522065,0.0001676667],"domain_scores_gemma":[0.9988809,0.0002125196,0.0002049171,0.0004480342,0.0001693605,0.00008427694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002731787,0.000395736,0.1542407,0.0002541587,0.001066489,0.0003167461,0.06437004,0.000002999456,0.0003021092,0.005317616,0.01166593,0.7617943],"study_design_scores_gemma":[0.00114003,0.00004310449,0.9523904,0.0003873087,0.0002381331,0.000002156007,0.03723834,0.000585944,0.000002510217,0.007380047,0.000460559,0.0001314966],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947848,0.0004385513,0.00006419264,0.00131632,0.0001012143,0.000107562,0.000295811,0.00000944596,0.002882041],"genre_scores_gemma":[0.9972714,0.0003724809,0.00006786682,0.0000108901,0.0001649979,4.260964e-7,0.000005283591,0.00000540306,0.002101302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7981496,"threshold_uncertainty_score":0.9987329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0286742580940989,"score_gpt":0.2330141097482973,"score_spread":0.2043398516541984,"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."}}