{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002979541,0.0003571904,0.0005566995,0.003530895,0.003125195,0.00499142,0.0006605243,0.0007393629,0.003346652],"category_scores_gemma":[0.009082767,0.0005133795,0.0002236054,0.003459376,0.006902684,0.005376121,0.003743478,0.001367102,0.0004784468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006578522,"about_ca_system_score_gemma":0.001670556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02104608,"about_ca_topic_score_gemma":0.02465533,"domain_scores_codex":[0.9973205,0.001235597,0.0002224267,0.0004426126,0.0005710982,0.0002076977],"domain_scores_gemma":[0.9944696,0.003504188,0.0006767966,0.0005062581,0.0007070738,0.0001360474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002452667,0.00003474186,0.01422251,0.0003600435,0.00007349053,0.0006196747,0.1146258,0.0007141962,0.00614375,0.8132723,0.002432978,0.04725529],"study_design_scores_gemma":[0.0001213635,0.0001305146,0.1495087,0.0009504168,0.0002819495,0.001118532,0.1149808,0.005723139,0.0138258,0.402457,0.3106858,0.0002161396],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8564835,0.003382526,0.02810379,0.004241911,0.0001060057,0.00006906983,0.0006377531,0.000187752,0.1067876],"genre_scores_gemma":[0.9956006,0.000400037,0.002493728,0.00005775021,0.00001029855,0.0000192197,0.0001941593,0.00003753759,0.001186695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02104608,"threshold_uncertainty_score":0.04773074,"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."}}