{"id":"W2580808226","doi":"10.3968/9033","title":"Mitigating Mechanism of Discourse Markers","year":2016,"lang":"en","type":"article","venue":"Canadian social science","topic":"Language, Discourse, Communication Strategies","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politeness; Contradiction; Emotive; Politeness theory; Interpersonal communication; Mechanism (biology); Face (sociological concept); Discourse marker; Social psychology; Relation (database); Linguistics; Psychology; Sociology; Epistemology; Computer science; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003379896,0.00006428679,0.00008374288,0.0001061843,0.0007486534,0.0001165236,0.0005262541,0.00001960151,0.001311311],"category_scores_gemma":[0.00007317672,0.00004553327,0.00003607549,0.00009803509,0.002577694,0.0004221353,0.00003794379,0.0000419511,0.00003202726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000152147,"about_ca_system_score_gemma":0.0006497253,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01684869,"about_ca_topic_score_gemma":0.108007,"domain_scores_codex":[0.9991995,0.00002933784,0.0001238131,0.0001304587,0.0002167441,0.0003001263],"domain_scores_gemma":[0.999401,0.00003902093,0.00007927726,0.0001866687,0.0001319811,0.0001620864],"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":[7.31815e-7,0.000002767697,0.0001001056,0.000002041189,0.0000028693,0.000001069586,0.01511479,8.063776e-9,0.001108743,0.9776906,0.0004807443,0.005495502],"study_design_scores_gemma":[0.0006796423,0.0001137263,0.002405763,0.0002334335,0.00004355287,0.000003397575,0.7860767,0.00002093213,0.004638432,0.1088162,0.09608367,0.0008845591],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1249178,0.00002766588,0.00002786268,0.002660862,0.0002480381,0.00008221965,0.0000920859,0.00002303546,0.8719205],"genre_scores_gemma":[0.9975001,0.000002653916,0.00005656636,0.0001837278,0.0001522209,0.000005928824,0.000001068672,0.000006029059,0.002091683],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8725824,"threshold_uncertainty_score":0.9996016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02983122889756751,"score_gpt":0.2809319140130091,"score_spread":0.2511006851154416,"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."}}